This study evaluated the performance of a
commercially available face recognition algorithm for the verification of an individual’s identity across three illumination levels
• The lack of research related to lighting conditions and face recognition was the driver for this evaluation
• This evaluation examined the influence of variations in illumination levels on the performance of a face recognition algorithm, specifically with respect to factors of:
– Age, gender, ethnicity, facial characteristics, and facial obstructions
This paper proposes a structured methodology following a full vulnerability analysis of the general biometric model outlined by Mansfield and Wayman (2002). Based on this analysis, a new multidimensional paradigm named the Biometric Architecture & System Security (BASS) model is proposed, which adds comprehensive security and management layers to the existing biometric model.
Abstract—Biometric systems are increasingly deployed in networked environment, and issues related to interoperability are bound to arise as single vendor, monolithic architectures become less desirable. Interoperability issues affect every subsystem of the biometric system, and a statistical framework to evaluate interoperability is proposed. The framework was applied to the acquisition subsystem for a fingerprint recognition system and the results were evaluated using the framework. Fingerprints were collected from 100 subjects on 6 fingerprint sensors. The results show that performance of interoperable fingerprint datasets is not easily predictable and the proposed framework can aid in removing unpredictability to some degree.
This study evaluated the performance of a commercially available face recognition algorithm for the verification of an individual's identity across three illumination levels. The lack of research related to lighting conditions and face recognition was the driver for this evaluation. This evaluation examined the influence of variations in illumination levels on the performance of a face recognition algorithm, specifically with respect to factors of: age, gender, ethnicity, facial characteristics, and facial obstructions.
Biometric research centers on five fundamental areas: data collection, signal processing, decision-making, transmission, and storage. Traditionally, research occurred in subsets of the discipline in separate departments within universities such as algorithm development in computer science, and speech and computer vision in electrical engineering. In the fall semester of 2002, a class in Biometric Technology and Applications was developed to encourage cross-disciplinary education, where all areas of the biometric model would come together and address issues such as research methodologies and the implementation of biometrics in society at large. The course has been modified to accommodate a wider audience, incorporate graduate student research, which is the foundation for modular mini-courses tailored to specific majors and issues. Having an interdisciplinary group of student’s better mirrors the makeup of jobs involved in biometrics, such as management, marketing, or research. The challenge lies in providing a course that accounts for these diverse needs.
The document compares the quality of face images from three datasets - a legacy IDOC criminal database, a newer electronic IDOC database, and the FERET standard database. It analyzes the images using 28 quality metrics related to factors like scene, photography, digital attributes, and algorithms. The results show that the legacy IDOC images scored higher on most metrics than the electronic IDOC images, but the FERET images scored highest overall. The conclusions suggest room for improvement in the operational IDOC data quality and the need for algorithm developers to adjust to real-world image variability.
This paper proposes a structured methodology following a full vulnerability analysis of the general biometric model outlined by Mansfield and Wayman (2002). Based on this analysis, a new multidimensional paradigm named the Biometric Architecture & System Security (BASS) model is proposed, which adds comprehensive security and management layers to the existing biometric model.
Abstract—Biometric systems are increasingly deployed in networked environment, and issues related to interoperability are bound to arise as single vendor, monolithic architectures become less desirable. Interoperability issues affect every subsystem of the biometric system, and a statistical framework to evaluate interoperability is proposed. The framework was applied to the acquisition subsystem for a fingerprint recognition system and the results were evaluated using the framework. Fingerprints were collected from 100 subjects on 6 fingerprint sensors. The results show that performance of interoperable fingerprint datasets is not easily predictable and the proposed framework can aid in removing unpredictability to some degree.
This study evaluated the performance of a commercially available face recognition algorithm for the verification of an individual's identity across three illumination levels. The lack of research related to lighting conditions and face recognition was the driver for this evaluation. This evaluation examined the influence of variations in illumination levels on the performance of a face recognition algorithm, specifically with respect to factors of: age, gender, ethnicity, facial characteristics, and facial obstructions.
Biometric research centers on five fundamental areas: data collection, signal processing, decision-making, transmission, and storage. Traditionally, research occurred in subsets of the discipline in separate departments within universities such as algorithm development in computer science, and speech and computer vision in electrical engineering. In the fall semester of 2002, a class in Biometric Technology and Applications was developed to encourage cross-disciplinary education, where all areas of the biometric model would come together and address issues such as research methodologies and the implementation of biometrics in society at large. The course has been modified to accommodate a wider audience, incorporate graduate student research, which is the foundation for modular mini-courses tailored to specific majors and issues. Having an interdisciplinary group of student’s better mirrors the makeup of jobs involved in biometrics, such as management, marketing, or research. The challenge lies in providing a course that accounts for these diverse needs.
The document compares the quality of face images from three datasets - a legacy IDOC criminal database, a newer electronic IDOC database, and the FERET standard database. It analyzes the images using 28 quality metrics related to factors like scene, photography, digital attributes, and algorithms. The results show that the legacy IDOC images scored higher on most metrics than the electronic IDOC images, but the FERET images scored highest overall. The conclusions suggest room for improvement in the operational IDOC data quality and the need for algorithm developers to adjust to real-world image variability.
This document summarizes a presentation on simulation-based training for healthcare providers on prescription drug abuse. It discusses existing approaches like role-playing and standardized patients, and new computer-based approaches using virtual humans. The presentation demonstrates a system called VirtualPatientsGroup that allows creating virtual patients through a web interface to deploy interactive training scenarios. It also discusses tools for after-action review and comparing student performance to experts.
This document provides an overview of benchmarking experiments for criticality safety and reactor physics applications. It discusses benchmark experiment availability through demonstration databases and outlines the typical structure of a benchmark report, including experimental data, evaluation, modeling, sample calculations, and measurements. The document encourages student and young professional involvement in benchmark participation, which can provide educational opportunities, experience with computational analysis, and collaboration on senior design or thesis projects. Benchmarking cultivates engineering judgment and an analytical skill set that is valuable for nuclear professionals.
American Heart Association Airway CourseDavid Hiltz
The document summarizes the American Heart Association's new Airway Management Course. The course aims to improve healthcare providers' competency in critical airway skills used in resuscitation through modular learning modules focusing on bag-mask ventilation, laryngeal mask airways, endotracheal tubes, and other devices. It uses a simple three-step approach of skills demonstration, student practice, and testing. Online materials allow facilitators to access exams, certificates, and teaching resources to provide airway management training to a broad audience.
Basic Study Recruitment and Regulatory Issues: Which Methods are Appropriate?CTSI at UCSF
Presentation by Laurie Herraiz, RD, CCRP in May 2012 at CHR sponsored workshop on UCSF Campus. Topics include, basics of regulatory and recruitment, iMedrRIS application instructions, waivers of consent/authorization for recruitment purposes, examples of approved recruitment materials, and common challenges to recruitment.
Effective Communication Between Researchers and Older Users in Developing Des...Dave Taylor
A paper prepared for presentation at the ISG 7th World Conference in Vancouver 2010. The paper presented issues uncovered in early stages of the research being undertaken by the Smart Clothes and Wearable Technology research centre at the University of Wales Newport as part of the New Dynamics of Ageing - Design for Ageing Well Project
Biometrics refers to authentication techniques that rely on measurable physiological and behavioral characteristics to verify identity. A biometric system automatically recognizes individuals based on characteristics like fingerprints, facial features, iris patterns, etc. There are two types of identity resolution in biometric systems - verification and identification. Verification compares a sample to a single stored template, while identification searches a sample against a database of templates. Biometric systems collect and process samples, extract distinguishing features, create templates, and make identity decisions based on template matches. Biometrics are increasingly used for security applications like access control and transactions.
This document summarizes the key points from an introductory webinar on electronic patient-reported outcomes (ePRO). It discusses the current modes for ePRO data collection including smartphones, tablets, interactive web, and voice. The strengths and limitations of each mode are provided. A process for selecting the most appropriate ePRO mode for a study is described, considering factors like study design, patient characteristics, and instrument type. Examples of applying this process are given. Lastly, migrating existing paper PRO instruments to electronic formats is introduced.
This document summarizes the services provided by an organization that conducts research and training in areas related to biotechnology and pharmaceuticals. They provide online and in-person training programs and research projects in topics such as bioinformatics, drug design, genomics, and proteomics. They have completed over 20 research projects in the past year that have led to international publications. They also organize workshops on drug discovery and genomics at universities and institutions around the world, both in-person and online. Their goal is to strengthen the skills and careers of young researchers through hands-on training and research experience.
This document discusses visual information retrieval in endoscopic surgery videos. It notes that large amounts of surgery video are recorded each day but are difficult to search and retrieve from. The approach uses temporal sampling of frames, and indexes and searches videos based on global and localized global features. It tests this approach on a dataset of over 33 hours of laparoscopy videos containing over 500,000 frames. Evaluation shows the approach can successfully re-find specific frames with near duplicates, and that late fusion of features and localized features like SIFT perform better than global features alone. User studies found the approach provides a useful starting point for interactive video retrieval to help surgeons re-find specific moments in long procedure videos.
This presentation is from an AORN webinar about CNOR certification and how the Prep for CNOR online course can help you prepare for the CNOR exam. Topics include:
• The Importance of the CNOR® designation
• Eligibility to sit for the CNOR® exam
• Steps and strategies for success
• AORN study resources
Listen to the webinar at https://cc.readytalk.com/cc/playback/Playback.do?id=fd95y9.
This document provides an overview of implementation science and introduces a conceptual framework for guiding the assessment and improvement of implementation processes. It engages participants in applying this framework to analyze factors that will influence health worker counseling and mother feeding practices related to the WHO guidelines on infant feeding in the context of HIV, assuming breastfeeding with ARVs is the national policy.
Training Courses in Clinical Embryology.
Embryology Academy for Research & Training is a one stop training center for all aspects of Embryology and Andrology laboratory techniques.
Assisted Reproductive Technologies, be they Intrauterine Insemination, In Vitro Fertilization or Intra cytoplasm sperm injection - all need skill and precision which could be acquired from in depth knowledge and experience. To young aspirants and embryologists alike, we at EART with our judicious mixture of various teaching modules, lectures, actual hands-on-training and demonstrations ensure quality training much to your satisfaction. Knowledge from the basics in embryology to the ultimate in cryosciences and laser devices all will be imparted by our dedicated team to ensure continuity of care.
Embryology Academy for Research & Training
Address: 26 A, Raju Industrial Estate, Near Dashisar Check Naka,
Mira 401 104.
Telephone:+91 22 2845 7140 / 2845 7059
Fax: +91 22 2845 6766
ivftraining@gmail.com
This document describes a human identification system using retinal biometrics. It begins with an introduction to biometrics and why retinal biometrics are useful for identification. It then describes what the retina is and how retinal images are processed. The proposed system uses a three stage process of preprocessing, feature extraction, and matching. It highlights advantages like high accuracy and disadvantages like being intrusive. Applications include computer and physical access systems. Future work could improve user acceptance and accuracy. In conclusion, the presented system aims to use vascular patterns and a three stage matching algorithm for personal identification based on retina biometrics.
Slides from a presentation at the Improving Experimental Approaches In Animal Biology: Implementing the 3Rs (London, 1st July 2016), sponsored by the Society for Experimental Biology. I discussed four ways that I've used multimedia in bioethics education. #SEB3Rs.
Light, Camera, Action: Involving students in digital video production to enha...Chris Willmott
Slides from my presentation at the Society for Experimental Biology Education and Public Affairs Symposium "Teaching and Communicating Science in the Digital Age" in December 2014.
The document describes a study conducted using a remote proctoring system called Remote Proctor Pro to monitor online students taking exams, finding that it effectively ensured academic integrity while being more convenient and affordable than in-person proctoring options. The system authenticates student identity, monitors their activity, secures their computer access, records exam sessions, and reviews for any violations of exam policies.
This document discusses how new technologies can help free up investigators' time to engage with patients by streamlining clinical trial processes. It identifies several challenges sites currently face, such as excessive paperwork, multiple vendor systems, and time-consuming monitoring visits. The document proposes potential solutions like adopting a single technology platform to manage various trial functions, using electronic systems to replace paper where possible, and enabling remote access and monitoring. It argues these changes could allow sites to spend more time on patient-focused tasks while still maintaining high data quality and regulatory compliance.
This document discusses adaptive clinical trials. Adaptive trials allow changes to the trial design based on interim data analysis in order to make the trial more efficient. Key aspects that can be adapted include sample size, treatments, endpoints, and eligibility criteria. Adaptive designs are well-suited for exploratory trials aimed at learning, but confirmatory trials require more prior data and safeguards to ensure the trial's integrity and the validity of its conclusions. The FDA has provided guidance on adaptive designs to ensure patient safety and that adaptive trials meet evidentiary standards for approval.
This presentation provides an overview of risk-based monitoring and how clinical trial management systems (CTMS) and electronic data capture (EDC) analytics can help identify and manage risks during clinical studies. It discusses how guidance is moving away from traditional on-site monitoring towards more flexible, risk-based approaches. Key performance indicators and aggregate data analysis can be used to generate risk profiles for sites and identify changing risks over time. This allows sponsors to monitor studies more efficiently while still ensuring subject protection and data quality. The role of monitors is changing from on-site verification to activities like data monitoring, root cause analysis, and proactive risk management.
This document provides an overview of biometric courses offered online and on campus through Purdue University. It outlines the structure of graduate courses in areas like biometric technology and applications, automatic identification and data capture, standards, and performance evaluation. Details are provided on an online master's degree in biometrics that can be completed entirely online. The document also describes how students can earn badges by demonstrating skills in specific areas and complete projects. Advanced learning tools like Blackboard, Jetpack and Hotseat are used to keep students engaged in the flexible online programs.
This research focused on classifying Human-Biometric Sensor Interaction errors in real-time. The Kinect 2 was used as a measuring device to track the position and movements of the subject through a simulated border control environment. Knowing, in detail, the state of the subject ensures that the human element of the HBSI model is analyzed accurately. A network connection was established with the iris device to know the state of the sensor and biometric system elements of the model. Information such as detection rate, extraction rate, quality, capture type, and more metrics was available for use in classifying HBSI errors. A Federal Inspection Station (FIS) booth was constructed to simulate a U.S. border control setting in an International airport. The subjects were taken through the process of capturing iris and fingerprint samples in an immigration setting. If errors occurred, the Kinect 2 program would classify the error and saved these for further analysis.
IT 34500 is an undergraduate course offered to Purdue West Lafayette students. The course gives an introduction into biometrics and automatic identification and data capture technologies
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Similar to (2003) Securing a Restricted Site - Biometric Authentication at Entry Point
This document summarizes a presentation on simulation-based training for healthcare providers on prescription drug abuse. It discusses existing approaches like role-playing and standardized patients, and new computer-based approaches using virtual humans. The presentation demonstrates a system called VirtualPatientsGroup that allows creating virtual patients through a web interface to deploy interactive training scenarios. It also discusses tools for after-action review and comparing student performance to experts.
This document provides an overview of benchmarking experiments for criticality safety and reactor physics applications. It discusses benchmark experiment availability through demonstration databases and outlines the typical structure of a benchmark report, including experimental data, evaluation, modeling, sample calculations, and measurements. The document encourages student and young professional involvement in benchmark participation, which can provide educational opportunities, experience with computational analysis, and collaboration on senior design or thesis projects. Benchmarking cultivates engineering judgment and an analytical skill set that is valuable for nuclear professionals.
American Heart Association Airway CourseDavid Hiltz
The document summarizes the American Heart Association's new Airway Management Course. The course aims to improve healthcare providers' competency in critical airway skills used in resuscitation through modular learning modules focusing on bag-mask ventilation, laryngeal mask airways, endotracheal tubes, and other devices. It uses a simple three-step approach of skills demonstration, student practice, and testing. Online materials allow facilitators to access exams, certificates, and teaching resources to provide airway management training to a broad audience.
Basic Study Recruitment and Regulatory Issues: Which Methods are Appropriate?CTSI at UCSF
Presentation by Laurie Herraiz, RD, CCRP in May 2012 at CHR sponsored workshop on UCSF Campus. Topics include, basics of regulatory and recruitment, iMedrRIS application instructions, waivers of consent/authorization for recruitment purposes, examples of approved recruitment materials, and common challenges to recruitment.
Effective Communication Between Researchers and Older Users in Developing Des...Dave Taylor
A paper prepared for presentation at the ISG 7th World Conference in Vancouver 2010. The paper presented issues uncovered in early stages of the research being undertaken by the Smart Clothes and Wearable Technology research centre at the University of Wales Newport as part of the New Dynamics of Ageing - Design for Ageing Well Project
Biometrics refers to authentication techniques that rely on measurable physiological and behavioral characteristics to verify identity. A biometric system automatically recognizes individuals based on characteristics like fingerprints, facial features, iris patterns, etc. There are two types of identity resolution in biometric systems - verification and identification. Verification compares a sample to a single stored template, while identification searches a sample against a database of templates. Biometric systems collect and process samples, extract distinguishing features, create templates, and make identity decisions based on template matches. Biometrics are increasingly used for security applications like access control and transactions.
This document summarizes the key points from an introductory webinar on electronic patient-reported outcomes (ePRO). It discusses the current modes for ePRO data collection including smartphones, tablets, interactive web, and voice. The strengths and limitations of each mode are provided. A process for selecting the most appropriate ePRO mode for a study is described, considering factors like study design, patient characteristics, and instrument type. Examples of applying this process are given. Lastly, migrating existing paper PRO instruments to electronic formats is introduced.
This document summarizes the services provided by an organization that conducts research and training in areas related to biotechnology and pharmaceuticals. They provide online and in-person training programs and research projects in topics such as bioinformatics, drug design, genomics, and proteomics. They have completed over 20 research projects in the past year that have led to international publications. They also organize workshops on drug discovery and genomics at universities and institutions around the world, both in-person and online. Their goal is to strengthen the skills and careers of young researchers through hands-on training and research experience.
This document discusses visual information retrieval in endoscopic surgery videos. It notes that large amounts of surgery video are recorded each day but are difficult to search and retrieve from. The approach uses temporal sampling of frames, and indexes and searches videos based on global and localized global features. It tests this approach on a dataset of over 33 hours of laparoscopy videos containing over 500,000 frames. Evaluation shows the approach can successfully re-find specific frames with near duplicates, and that late fusion of features and localized features like SIFT perform better than global features alone. User studies found the approach provides a useful starting point for interactive video retrieval to help surgeons re-find specific moments in long procedure videos.
This presentation is from an AORN webinar about CNOR certification and how the Prep for CNOR online course can help you prepare for the CNOR exam. Topics include:
• The Importance of the CNOR® designation
• Eligibility to sit for the CNOR® exam
• Steps and strategies for success
• AORN study resources
Listen to the webinar at https://cc.readytalk.com/cc/playback/Playback.do?id=fd95y9.
This document provides an overview of implementation science and introduces a conceptual framework for guiding the assessment and improvement of implementation processes. It engages participants in applying this framework to analyze factors that will influence health worker counseling and mother feeding practices related to the WHO guidelines on infant feeding in the context of HIV, assuming breastfeeding with ARVs is the national policy.
Training Courses in Clinical Embryology.
Embryology Academy for Research & Training is a one stop training center for all aspects of Embryology and Andrology laboratory techniques.
Assisted Reproductive Technologies, be they Intrauterine Insemination, In Vitro Fertilization or Intra cytoplasm sperm injection - all need skill and precision which could be acquired from in depth knowledge and experience. To young aspirants and embryologists alike, we at EART with our judicious mixture of various teaching modules, lectures, actual hands-on-training and demonstrations ensure quality training much to your satisfaction. Knowledge from the basics in embryology to the ultimate in cryosciences and laser devices all will be imparted by our dedicated team to ensure continuity of care.
Embryology Academy for Research & Training
Address: 26 A, Raju Industrial Estate, Near Dashisar Check Naka,
Mira 401 104.
Telephone:+91 22 2845 7140 / 2845 7059
Fax: +91 22 2845 6766
ivftraining@gmail.com
This document describes a human identification system using retinal biometrics. It begins with an introduction to biometrics and why retinal biometrics are useful for identification. It then describes what the retina is and how retinal images are processed. The proposed system uses a three stage process of preprocessing, feature extraction, and matching. It highlights advantages like high accuracy and disadvantages like being intrusive. Applications include computer and physical access systems. Future work could improve user acceptance and accuracy. In conclusion, the presented system aims to use vascular patterns and a three stage matching algorithm for personal identification based on retina biometrics.
Slides from a presentation at the Improving Experimental Approaches In Animal Biology: Implementing the 3Rs (London, 1st July 2016), sponsored by the Society for Experimental Biology. I discussed four ways that I've used multimedia in bioethics education. #SEB3Rs.
Light, Camera, Action: Involving students in digital video production to enha...Chris Willmott
Slides from my presentation at the Society for Experimental Biology Education and Public Affairs Symposium "Teaching and Communicating Science in the Digital Age" in December 2014.
The document describes a study conducted using a remote proctoring system called Remote Proctor Pro to monitor online students taking exams, finding that it effectively ensured academic integrity while being more convenient and affordable than in-person proctoring options. The system authenticates student identity, monitors their activity, secures their computer access, records exam sessions, and reviews for any violations of exam policies.
This document discusses how new technologies can help free up investigators' time to engage with patients by streamlining clinical trial processes. It identifies several challenges sites currently face, such as excessive paperwork, multiple vendor systems, and time-consuming monitoring visits. The document proposes potential solutions like adopting a single technology platform to manage various trial functions, using electronic systems to replace paper where possible, and enabling remote access and monitoring. It argues these changes could allow sites to spend more time on patient-focused tasks while still maintaining high data quality and regulatory compliance.
This document discusses adaptive clinical trials. Adaptive trials allow changes to the trial design based on interim data analysis in order to make the trial more efficient. Key aspects that can be adapted include sample size, treatments, endpoints, and eligibility criteria. Adaptive designs are well-suited for exploratory trials aimed at learning, but confirmatory trials require more prior data and safeguards to ensure the trial's integrity and the validity of its conclusions. The FDA has provided guidance on adaptive designs to ensure patient safety and that adaptive trials meet evidentiary standards for approval.
This presentation provides an overview of risk-based monitoring and how clinical trial management systems (CTMS) and electronic data capture (EDC) analytics can help identify and manage risks during clinical studies. It discusses how guidance is moving away from traditional on-site monitoring towards more flexible, risk-based approaches. Key performance indicators and aggregate data analysis can be used to generate risk profiles for sites and identify changing risks over time. This allows sponsors to monitor studies more efficiently while still ensuring subject protection and data quality. The role of monitors is changing from on-site verification to activities like data monitoring, root cause analysis, and proactive risk management.
This document provides an overview of biometric courses offered online and on campus through Purdue University. It outlines the structure of graduate courses in areas like biometric technology and applications, automatic identification and data capture, standards, and performance evaluation. Details are provided on an online master's degree in biometrics that can be completed entirely online. The document also describes how students can earn badges by demonstrating skills in specific areas and complete projects. Advanced learning tools like Blackboard, Jetpack and Hotseat are used to keep students engaged in the flexible online programs.
Similar to (2003) Securing a Restricted Site - Biometric Authentication at Entry Point (20)
This research focused on classifying Human-Biometric Sensor Interaction errors in real-time. The Kinect 2 was used as a measuring device to track the position and movements of the subject through a simulated border control environment. Knowing, in detail, the state of the subject ensures that the human element of the HBSI model is analyzed accurately. A network connection was established with the iris device to know the state of the sensor and biometric system elements of the model. Information such as detection rate, extraction rate, quality, capture type, and more metrics was available for use in classifying HBSI errors. A Federal Inspection Station (FIS) booth was constructed to simulate a U.S. border control setting in an International airport. The subjects were taken through the process of capturing iris and fingerprint samples in an immigration setting. If errors occurred, the Kinect 2 program would classify the error and saved these for further analysis.
IT 34500 is an undergraduate course offered to Purdue West Lafayette students. The course gives an introduction into biometrics and automatic identification and data capture technologies
The human signature provides a natural and publically-accepted legally-admissible method for providing authentication to a process. Automatic biometric signature systems assess both the drawn image and the temporal aspects of signature construction, providing enhanced verification rates over and above conventional outcome assessment. To enable the capture of these constructional data requires the use of specialist ‘tablet’ devices. In this paper we explore the enrolment performance using a range of common signature capture devices and investigate the reasons behind user preference. The results show that writing feedback and familiarity with conventional ‘paper and pen’ donation configurations are the primary motivation for user preference. These results inform the choice of signature device from both technical performance and user acceptance viewpoints.
The inherent differences between secret-based authentication (such as passwords and PINs) and biometric authentication have left gaps in the credibility of biometrics. These gaps are due, in large part, to the inability to adequately cross-compare the two types of authentication. This paper provides a comparison between the two types of authentication by equating biometric entropy in the same way entropy of secrets are represented. Similar to the method used by Ratha, Connell, and Bolle [1], the x and y dimensions of the fingerprints were examined to determine all possible locations of minutiae. These locations were then examined based on the observed probability of minutiae occurring in each of the designated locations. The results of this work show statistically significant differences in the frequencies and probabilities of occurrence for minutiae location, type, and angle, across all possible minutiae locations. These components were applied to Shannon’s Information Theory [2] to determine the entropy of fingerprint biometrics, which was estimated to be equivalent to an 8.3-character, randomly chosen password
This course covers biometric usability testing with a focus on border control and mobile devices. The course objectives are to understand biometric systems, how people use them, testing methodologies, limitations, and research methods. Topics include genuine users, usability, attacks, border security, tokens, qualitative/quantitative research, and focus groups. Students will complete a research-based group project, assignments, and quizzes. The course uses lectures, discussions, guest speakers and students are expected to regularly attend and complete all work.
This document examines the stability of iris recognition over short periods of time. It analyzes iris scan data from 60 participants in a single visit lasting 10 minutes or less. The stability of each iris is measured using a stability score index. Statistical analysis finds no significant difference in stability scores between age groups, gender, or ethnicity. This suggests the iris remains stable within a single visit. Future work could examine stability over longer time periods and whether it decreases with more extended testing.
In this research, intra-visit match score stability was examined for the human iris. Scores were found to be statistically stable in this short time frame.
In this research, intra-visit match score stability was examined for the human iris. Scores were found to be statistically stable in this short time frame.
In this research, intra-visit match score stability was examined for the human iris. Scores were found to be statistically stable in this short time frame.
In this research, intra-visit match score stability was examined for the human iris. Scores were found to be statistically stable in this short time frame.
A lot of work done in Center recently has focused around different topics concerning "time". Iris stability across different "times" has been in the forefront due to work in the undergraduate class, IT345, the graduate class IT545, as well as work in Ben Petry's thesis. Of course "time" is a fairly inaccurate word to use. Assessing stability over time is very ambiguous to the research question. For example time may mean millisecond, months, years, or even life of the user. Upon further examination of other academic literature, the reporting of research duration, collection interval, and specific time frame of interest are sporadic at best and missing completely at worst. To solve this issue, the Center has created the biometric duration scale (BDS) model with associated suggested best practices for reporting time duration in biometrics.
The BDS model marries the general biometric model with HBSI model to create a logical flow of five phases: the presentation definition phase, sample phase, processing phase, and enrollment or matching phase. By tracking information through this progression such as specific subject presentations made, HBSI error, and FTE/Enrollment score (to name a few), performance within the general biometric model can be examined. The BDS model goes one step further by creating specific durations to report research specific metrics. By creating this model, outcomes that effect a yearly performance metrics can be looked at by examining monthly performance, daily performance, or even specific user presentations and how those subcomponents effect the whole system.
Additionally, best practices for the reporting of duration is also included. The reporting methodology stems from ISO 8601 and is in compliance with ISO 21920. In the common reporting structure, start date, duration, number of visits at how many intervals, and time scope of interest for the specific research are given in a logical, readily available format along with the very specific, detailed ISO 8601 methodology. The goal of creating a formal script for reporting research duration was to eliminate ambiguity and create an environment where replication and drawing parallels between research is encouraged.
The document examines the stability of iris recognition over a short period of time. It discusses how iris recognition works and why the iris is considered unique and stable over time. The research presented in the document analyzed iris image data collected over four weekly visits. The results showed no statistically significant difference in iris matching scores between the different visits, suggesting the iris is stable over a short time period. This supports the idea that the iris can be used for biometric identification applications that require stability over time.
ICBR has been involved in standards development for over 14 years through committees like INCITS M1 and ISO/IEC JTC1 SC37. To provide students real-world experience, students participated on these committees by submitting documents, comments, and reviews. This engagement between academia and standards development benefits both fields by allowing applied research and education in new and emerging technical areas.
The stability score index, conceptualized in 2013, was designed to address the weaknesses of the zoo menagerie and other performance metrics by quantifying the relative stability of a user from on condition to another. In this paper, the measure of interoperability is the stability score from enrolling on one sensor and verifying on multiple sensors. The results showed that like performance, individual performance were not stable across these sensors. When examining stability by sensor family (capacitance, optical and thermal) we find that capacitive as the enrollment sensor were the least stable. Both enrolling and verifying on a thermal sensor, individuals were the most stable of the three family types. With respect to interaction type, enrolling on touch and verifying on swipe was more stable than enrolling on swipe and verifying on swipe, which was an interesting finding. Individuals using the thermal sensor generated the most stable stability scores.
This document discusses advances in testing and evaluating human-biometric sensor interaction using a new model. It describes gaps in traditional biometric testing, such as how users interact with systems. A new Human Biometric Sensor Interaction model is presented and has been tested on iris and fingerprint biometrics. The model has been expanded to more complex systems like border gates. Testing looks at how users interact with biometric systems in different environments and factors like throughput. The goal is to better test and evaluate systems without overburdening test facilities.
This document discusses biometric testing and evaluation. It covers traditional biometric algorithm testing and more complex operational testing. There are gaps in areas like training, accessibility, human factors, and determining what causes errors. Filling these gaps is an ongoing work in progress as biometric devices become more complex and deployed in more environments and applications. Different types of testing include technology, scenario, and operational evaluations to adequately assess performance and usability.
This course provides an overview of biometric technology as it relates to security, access control, and authentication. It examines basic biometric terminology and various biometric modalities such as fingerprint, face, and iris recognition. Students will learn about biometric data evaluation and interpretation, standards, integration, and challenges. The course is divided into fundamental, modality, integration, and research building blocks to cover topics like identification, matching, fusion, standards, and interoperability.
This document outlines the structure and goals of a research study on the stability of iris recognition match scores over time. It introduces the problem statement around the lack of quantification of match score stability, and previews the research question, significance, purpose and scope, assumptions, limitations, and delimitations that will be discussed in the following chapters which focus on the literature review, methodology, results, and conclusions of the study.
According to a report by Frost and Sullivan in 2007, revenues for non-AFIS fingerprint devices in notebook PC's and wireless devices is anticipated to grow from $148.5 million to $1588.0 million by 2014, a compound annual growth rate of 40.3% [1]. The AFIS market has a compound annual growth rate of 15.2% with revenues of $445.0 million in 2007. With the development of mobile applications in a number of different market segments, such as healthcare, retail, and law enforcement, this paper analyzed the performance of fingerprints of different sizes, from different sensors...
This is a preview of the databases we use in the Center. The presentation overviews our data collection GUI, data storage (datawarehouse), and our project management database. Each of these databases work together to allow us to efficiently run our operations.
More from International Center for Biometric Research (20)
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.