This document provides an overview of various biometric identifiers for human identification. It discusses fingerprint recognition, face recognition, voice recognition, iris recognition, hand geometry, signature verification, DNA analysis, and retina recognition. For each biometric technique, it describes the basic principles, common applications, advantages, and limitations. The document aims to educate the reader about the different biometric identification methods that exist.
PPT On Biometrics Technology for Engineering student. It contains all the basic of Biometrics. Contents are taken from different sources. I Presented it in 5th semester of B.tech. It is a nice project for engineering students. from Fingerprint to the vein scanning process and voice recognization pattern are explained in a short way.
PPT On Biometrics Technology for Engineering student. It contains all the basic of Biometrics. Contents are taken from different sources. I Presented it in 5th semester of B.tech. It is a nice project for engineering students. from Fingerprint to the vein scanning process and voice recognization pattern are explained in a short way.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
3. INTRODUCTION
Refers to the identification of humans bytheir
characteristics or traits.
Many different aspects of human physiology,
chemistry or behavior can be used forbiometric
identification and authentication.
Rapid!
Know
Be Have
5. IN GENERAL
Biometrics can be sorted into two classes:
Physiological
Examples: face, fingerprint, hand
geometry and iris recognition
Behavioral
Examples: signature and voice
7. BIOMETRIC IDENTIFIERS
Common:
Fingerprint Recognition
Face Recognition
Speaker Recognition
Iris Recognition
Hand Geometry
Signature verification
Others:
DNA
Retina recognition
Thermograms
Ear recognition
Skin reflection
Lip motion
Body odor
Brain Wave Pattern
Footprint and Foot
Dynamics
8. 1. FINGERPRINT RECOGNITION
An extremely useful biometricstechnology
since fingerprints have long been
recognized as a primary and accurate
identification method.
9. Acquisition Devices
Ink & paper – the oldest way
Ink-less Methods - sense the
ridges on a finger
“Livescan” fingerprint scanners
Optical methods (FTIR)
CMOS capacitance
Thermal sensing
Ultrasound sensing
10. APPLICATIONS
Identification, or 1-to-Many:
identifies a person from the entire
enrolled population.
Authentication, or 1-to-1: matches a
person's claimed identity to his/her
biometric and one or more other security
technologies (password, PIN, Token).
(See http://www.biometrics.dod.mil/bio101/index.aspx )
11. MINUTIAE
Uses the ridge endings and bifurcation's on a
persons finger to plot points known as Minutiae
The number and locations of the minutiae varyfrom
finger to finger in any particular person, and from
person to person for any particularfinger
Minutiae
Finger Image +
Minutiae
Finger Image
12. MATCHING APPROACHES
• Hybrid techniques (with improved accuracy)
Two basic classes of matching techniques:
Image techniques
Use both optical and numerical imagecorrelation
techniques
• Feature techniques
Extracts features and develop representations
from these features
Combining the above two techniques:
13. 2. FACE RECOGNITION
•Uses an image or series of images either
from a camera or photograph to recognize a
person.
•Principle: analysis of the unique shape,
pattern and positioning of facial features.
14. FEATURES
Passive biometrics and does not require a
persons cooperation
Highly complex technology and largely
software based.
Primary advantage is that the biometric
system is able to operate “hands-free” and
a user’s identity is confirmed by simply
staring at the screen.
15. DETAILS
Source of data: Single image, video
sequence, 3Dimage and Near Infrared
Models: weak models of the human face
that model face shape in terms of facial
texture
Face appearance
Face geometry
17. 3. VOICE RECOGNITION
Voice recognition is not the same asspeech
recognition, it is speaker recognition
Considered both physiological and behavioral
Popular and low-cost, but less accurateand
sometimes lengthy enrollment
19. FEATURES
Advantage
Less requirements for users, such that they do not have to go
through a separate process for verification
Very little hardware is required, and ideally suited to telephone-
based system for a remote identification
• Disadvantage
Acoustic features : 1. Misspoken or misread phrases; 2. The
human voice's tremendous variability, due to colds, aging, and
simple tiredness
Can be captured surreptitiously by a third party and replayed
20. 4. IRIS RECOGNITION
Analysis of the iris of the eye, which is the colored ring of tissue
that surrounds the pupil of the eye.
Based on visible features.
Widely regarded as the most safe, accurate biometrics technology
high speeds, High accuracy.
22. APPLICATIONS
Iris recognition is a highly
mature technology with a
proven track record in a
number of application areas.
Used very effectively all
over the world.
Heathrow Airport (London) - Iris
23. 5.HAND GEOMETRY
• Hand geometry systems are commonly
available in two main forms. Full hand
geometry systems take an image of the entire
hand for comparison while Two Finger
readers only image two fingers of the hand.
• Hand recognition technology is currently one
of the most deployed biometrics disciplines
world wide
25. 6. SIGNATURE VERIFICATION
Static/Off-line: the conventional way
Dynamic/On-line: using electronically instrumented
device
Principle: the movement of the pen during the signing
process rather than the static image of the signature.
Many aspects of the signature in motion can be studied,
such as pen pressure, the sound the pen makes
26. Applications
Examples of Commercial products:
• Cyber-SIGN PenOp
•CIC Communication Intelligence
Corp.
"The power to sign online"
For more technical information:
• IBM online signature verification
27. DNA
DNA has been called the “ultimate identifier”
Identify information from every cell in the body in a
digital form
Not yet fully automated, not fast and expensive
Theoretical limitation: Identical twins have the same
DNA
Privacy issue – DNA contains information about race,
paternity, and medical conditions for certain disease
28. COMPARISON CHART
DNA Conventional Biometrics
Requires an actual
physical sample
Uses an impression, image, or
recording
Not done in real-time; not
all stages of comparison
are automated
Done in real-time; automated
process
Does a comparison of
actual samples
Uses templates or feature extraction
29. II. RETINA RECOGNITION
The pattern of blood vessels that comes from
the optic nerve and disperse throughout the
retina depends on individuals and never
changes.
No two retinas are the same, evenin
identical twins.
Commercial products: RetinalTechnologies