Face detection is one of the most suitable applications for image processing and biometric programs. Artificial neural networks have been used in the many field like image processing, pattern recognition, sales forecasting, customer research and data validation. Face detection and recognition have become one of the most popular biometric techniques over the past few years. There is a lack of research literature that provides an overview of studies and research-related research of Artificial neural networks face detection. Therefore, this study includes a review of facial recognition studies as well systems based on various Artificial neural networks methods and algorithms.
FUSION BASED MULTIMODAL AUTHENTICATION IN BIOMETRICS USING CONTEXT-SENSITIVE ...cscpconf
Biometrics is one of the primary key concepts of real application domains such as aadhar card, passport, pan card, etc. In such applications user can provide two to three biometrics patterns
like face, finger, palm, signature, iris data, and so on. We considered face and finger patterns
for encoding and then also for verification. Using this data we proposed a novel model for
authentication in multimodal biometrics often called Context-Sensitive Exponent Associative Memory Model (CSEAM). It provides different stages of security for biometrics patterns. In
stage 1, face and finger patterns can be fusion through Principal Component Analysis (PCA), in stage 2 by applying SVD decomposition to generate keys from the fusion data and preprocessed face pattern and then in stage 3, using CSEAM model the generated keys can be encoded. The final key will be stored in the smart cards. In CSEAM model, exponential
kronecker product plays a critical role for encoding and also for verification to verify the chosen samples from the users. This paper discusses by considering realistic biometric data in
terms of time and space
AI Approach for Iris Biometric Recognition Using a Median FilterNIDHI SHARMA
The Artificial Intelligence approach is used for Iris recognition by understanding the distinctive and measurable characteristics of the human body such as a person’s face, iris, DNA, fingerprints, etc. AI methods analyzed the attributes like iris images. Privacy and Security being a major concern nowadays, Recognition Technique can find numerous applications.
Explaining Aluminous Ascientification Of Significance Examples Of Personal St...SubmissionResearchpa
This article lists the results of an experimental test of algorithms for recognizing ear tags. Like most biometric technologies, one of the key issues is the separation of the characteristic image, which is also included in the recognition of the person on the basis of the ear studship. Because the accuracy and accuracy of the program depends on the criteria for recognizing the person on the basis of any biometric technology. Therefore, by distinguishing the problem of discrete cosine exchange, using the main component method and algorithms for separation, the characteristic sign of the ear stud was detected. These algorithms can be used to develop personal identification systems based on earphones. by Djuraeva Rano Bahrombekovna, Mukhammadiev Alisher Numonhan-ugli, Khodjaeva Mavluda Sabirovna and Jumaev Turdali Saminjonovich 2020. Explaining Aluminous Ascientification Of Significance Examples Of Personal Study On Personal Identity. International Journal on Integrated Education. 2, 1 (Mar. 2020), 48-52. DOI:https://doi.org/10.31149/ijie.v2i1.287. https://journals.researchparks.org/index.php/IJIE/article/view/287/280 https://journals.researchparks.org/index.php/IJIE/article/view/287
Face detection is one of the most suitable applications for image processing and biometric programs. Artificial neural networks have been used in the many field like image processing, pattern recognition, sales forecasting, customer research and data validation. Face detection and recognition have become one of the most popular biometric techniques over the past few years. There is a lack of research literature that provides an overview of studies and research-related research of Artificial neural networks face detection. Therefore, this study includes a review of facial recognition studies as well systems based on various Artificial neural networks methods and algorithms.
FUSION BASED MULTIMODAL AUTHENTICATION IN BIOMETRICS USING CONTEXT-SENSITIVE ...cscpconf
Biometrics is one of the primary key concepts of real application domains such as aadhar card, passport, pan card, etc. In such applications user can provide two to three biometrics patterns
like face, finger, palm, signature, iris data, and so on. We considered face and finger patterns
for encoding and then also for verification. Using this data we proposed a novel model for
authentication in multimodal biometrics often called Context-Sensitive Exponent Associative Memory Model (CSEAM). It provides different stages of security for biometrics patterns. In
stage 1, face and finger patterns can be fusion through Principal Component Analysis (PCA), in stage 2 by applying SVD decomposition to generate keys from the fusion data and preprocessed face pattern and then in stage 3, using CSEAM model the generated keys can be encoded. The final key will be stored in the smart cards. In CSEAM model, exponential
kronecker product plays a critical role for encoding and also for verification to verify the chosen samples from the users. This paper discusses by considering realistic biometric data in
terms of time and space
AI Approach for Iris Biometric Recognition Using a Median FilterNIDHI SHARMA
The Artificial Intelligence approach is used for Iris recognition by understanding the distinctive and measurable characteristics of the human body such as a person’s face, iris, DNA, fingerprints, etc. AI methods analyzed the attributes like iris images. Privacy and Security being a major concern nowadays, Recognition Technique can find numerous applications.
Explaining Aluminous Ascientification Of Significance Examples Of Personal St...SubmissionResearchpa
This article lists the results of an experimental test of algorithms for recognizing ear tags. Like most biometric technologies, one of the key issues is the separation of the characteristic image, which is also included in the recognition of the person on the basis of the ear studship. Because the accuracy and accuracy of the program depends on the criteria for recognizing the person on the basis of any biometric technology. Therefore, by distinguishing the problem of discrete cosine exchange, using the main component method and algorithms for separation, the characteristic sign of the ear stud was detected. These algorithms can be used to develop personal identification systems based on earphones. by Djuraeva Rano Bahrombekovna, Mukhammadiev Alisher Numonhan-ugli, Khodjaeva Mavluda Sabirovna and Jumaev Turdali Saminjonovich 2020. Explaining Aluminous Ascientification Of Significance Examples Of Personal Study On Personal Identity. International Journal on Integrated Education. 2, 1 (Mar. 2020), 48-52. DOI:https://doi.org/10.31149/ijie.v2i1.287. https://journals.researchparks.org/index.php/IJIE/article/view/287/280 https://journals.researchparks.org/index.php/IJIE/article/view/287
Face recognition is a widely used biometric approach. Face recognition technology has developed rapidly
in recent years and it is more direct, user friendly and convenient compared to other methods. But face
recognition systems are vulnerable to spoof attacks made by non-real faces. It is an easy way to spoof face
recognition systems by facial pictures such as portrait photographs. A secure system needs Liveness
detection in order to guard against such spoofing. In this work, face liveness detection approaches are
categorized based on the various types techniques used for liveness detection. This categorization helps
understanding different spoof attacks scenarios and their relation to the developed solutions. A review of
the latest works regarding face liveness detection works is presented. The main aim is to provide a simple
path for the future development of novel and more secured face liveness detection approach.
Face Recognition plays a major role in Biometrics. Feature selection is a measure issue in face
recognition. This paper proposes a survey on face recognition. There are many methods to extract face
features. In some advanced methods it can be extracted faster in a single scan through the raw image and
lie in a lower dimensional space, but still retaining facial information efficiently. The methods which are
used to extract features are robust to low-resolution images. The method is a trainable system for selecting
face features. After the feature selection procedure next procedure is matching for face recognition. The
recognition accuracy is increased by advanced methods.
Presentation on Face detection and recognition - Credits goes to Mr Shriram, "https://www.hackster.io/sriram17ei/facial-recognition-opencv-python-9bc724"
Scale Invariant Feature Transform Based Face Recognition from a Single Sample...ijceronline
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
Comparative Analysis of Face Recognition Methodologies and TechniquesFarwa Ansari
In the field of computer sciences such as
graphics and also analyzing the image and its processing,
face recognition is the most prominent problem due to the
comprehensive variation of faces and the complexity of
noises and image backgrounds. The purpose and working
of this system is that it identifies the face of a person from
the real time video and verifies the person from the images
store in the database. This paper provides a review of the
methodologies and techniques used for face detection and
recognition. Firstly a brief introduction of Facial
Recognition is given then the review of the face
recognition’s working which has been done until now, is
briefly introduced. Then the next sections covered the
approaches, methodologies, techniques and their
comparison. Holistic, Feature based and Hybrid
approaches are basically used for face recognition
methodologies. Eigen Faces, Fisher Faces and LBP
methodologies were introduced for recognition purpose.
Eigen Faces is most frequently used because of its
efficiencies. To observe the efficient techniques of facial
recognition, there are many scenarios to measure its
performance which are based on real time.
Face recognition is a widely used biometric approach. Face recognition technology has developed rapidly
in recent years and it is more direct, user friendly and convenient compared to other methods. But face
recognition systems are vulnerable to spoof attacks made by non-real faces. It is an easy way to spoof face
recognition systems by facial pictures such as portrait photographs. A secure system needs Liveness
detection in order to guard against such spoofing. In this work, face liveness detection approaches are
categorized based on the various types techniques used for liveness detection. This categorization helps
understanding different spoof attacks scenarios and their relation to the developed solutions. A review of
the latest works regarding face liveness detection works is presented. The main aim is to provide a simple
path for the future development of novel and more secured face liveness detection approach.
Face Recognition plays a major role in Biometrics. Feature selection is a measure issue in face
recognition. This paper proposes a survey on face recognition. There are many methods to extract face
features. In some advanced methods it can be extracted faster in a single scan through the raw image and
lie in a lower dimensional space, but still retaining facial information efficiently. The methods which are
used to extract features are robust to low-resolution images. The method is a trainable system for selecting
face features. After the feature selection procedure next procedure is matching for face recognition. The
recognition accuracy is increased by advanced methods.
Presentation on Face detection and recognition - Credits goes to Mr Shriram, "https://www.hackster.io/sriram17ei/facial-recognition-opencv-python-9bc724"
Scale Invariant Feature Transform Based Face Recognition from a Single Sample...ijceronline
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
Comparative Analysis of Face Recognition Methodologies and TechniquesFarwa Ansari
In the field of computer sciences such as
graphics and also analyzing the image and its processing,
face recognition is the most prominent problem due to the
comprehensive variation of faces and the complexity of
noises and image backgrounds. The purpose and working
of this system is that it identifies the face of a person from
the real time video and verifies the person from the images
store in the database. This paper provides a review of the
methodologies and techniques used for face detection and
recognition. Firstly a brief introduction of Facial
Recognition is given then the review of the face
recognition’s working which has been done until now, is
briefly introduced. Then the next sections covered the
approaches, methodologies, techniques and their
comparison. Holistic, Feature based and Hybrid
approaches are basically used for face recognition
methodologies. Eigen Faces, Fisher Faces and LBP
methodologies were introduced for recognition purpose.
Eigen Faces is most frequently used because of its
efficiencies. To observe the efficient techniques of facial
recognition, there are many scenarios to measure its
performance which are based on real time.
Presented by
Laura Quin - Idealware
Peter Campbell - LSC
Brian Roew - NTAP Coordinator
These are the slides that go along with the video here https://www.youtube.com/watch?v=Bl1SvNO2x5o.
Beneficios por dejar de fumar - ¿Ya esta en tus planes dejar de fumar?jcgomez23
Beneficios por dejar de fumar - ¿Ya esta en tus planes dejar de fumar?
Mi blog ►► http://comodejardefumarfacilmente.blogspot.com
Espero que te haya ayudado.
Multibiometric Secure Index Value Code Generation for Authentication and Retr...ijsrd.com
The use of multiple biometric sources for human recognition, referred to as multibiometrics, mitigates some of the limitations of unimodal biometric systems by increasing recognition accuracy, improving population coverage, imparting fault-tolerance, and enhancing security. In a biometric identification system, the identity corresponding to the input data (probe) is typically determined by comparing it against the templates of all identities in a database (gallery). An alternative e approach is to limit the number of identities against which matching is performed based on criteria that are fast to evaluate. We propose a method for generating fixed-length codes for indexing biometric databases. An index code is constructed by computing match scores between a biometric image and a fixed set of reference images. Candidate identities are retrieved based on the similarity between the index code of the probe image and those of the identities in the database. The number of multibiometric systems deployed on a national scale is increasing and the sizes of the underlying databases are growing. These databases are used extensively, thereby requiring efficient ways for searching and retrieving relevant identities. Searching a biometric database for an identity is usually done by comparing the probe image against every enrolled identity in the database and generating a ranked list of candidate identities. Depending on the nature of the matching algorithm, the matching speed in some systems can be slow. The proposed technique can be easily extended to retrieve pertinent identities from multimodal databases. Experiments on a chimeric face and fingerprint bimodal database resulted in an 84% average reduction in the search space at a hit rate of 100%. These results suggest that the proposed indexing scheme has the potential to substantially reduce the response time without compromising the accuracy of identification. New representation schemes that allow for faster search and, therefore, shorter response time are needed.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Concept drift and machine learning model for detecting fraudulent transaction...IJECEIAES
In a streaming environment, data is continuously generated and processed in an ongoing manner, and it is necessary to detect fraudulent transactions quickly to prevent significant financial losses. Hence, this paper proposes a machine learning-based approach for detecting fraudulent transactions in a streaming environment, with a focus on addressing concept drift. The approach utilizes the extreme gradient boosting (XGBoost) algorithm. Additionally, the approach employs four algorithms for detecting continuous stream drift. To evaluate the effectiveness of the approach, two datasets are used: a credit card dataset and a Twitter dataset containing financial fraudrelated social media data. The approach is evaluated using cross-validation and the results demonstrate that it outperforms traditional machine learning models in terms of accuracy, precision, and recall, and is more robust to concept drift. The proposed approach can be utilized as a real-time fraud detection system in various industries, including finance, insurance, and e-commerce.
COMPARATIVE ANALYSIS OF MINUTIAE BASED FINGERPRINT MATCHING ALGORITHMSijcsit
Biometric matching involves finding similarity between fingerprint images.The accuracy and speed of the
matching algorithmdetermines its effectives. This researchaims at comparing two types of matching
algorithms namely(a) matching using global orientation features and (b) matching using minutia triangulation.The comparison is done using accuracy, time and number of similar features. The experiment is conducted on a datasets of 100 candidates using four (4) fingerprints from each candidate. The data is sampled from a mass registration conducted by a reputable organization in Kenya.Theresearch reveals that fingerprint matching based on algorithm (b) performs better in speed with an average of 38.32 milliseconds
as compared to matching based on algorithm (a) with an average of 563.76 milliseconds. On accuracy,algorithm(a) performs better with an average accuracy of 0.142433 as compared to algorithm (b) with an average accuracy score of 0.004202.
A Novel Framework For Numerical Character Recognition With Zoning Distance Fe...IJERD Editor
Advancements of Computer technology has made every organization to implement the automatic processing systems for its activities. One of the examples is the recognition of handwritten characters, which has always been a challenging task in image processing and pattern recognition. In this paper we propose Zone based features for recognition of the handwritten characters. In this zoning approach a digit image is divided into 8x8 zones and centre pixel is computed for each zone. This procedure is sequentially repeated for entire zone. Finally features are extracted for classification and recognition.
Knowledge and Data Engineering IEEE 2015 ProjectsVijay Karan
List of Knowledge and Data Engineering IEEE 2015 Projects. It Contains the IEEE Projects in the Domain Knowledge and Data Engineering for the year 2015
Web administrators should pay special attention and closely inspect web sessions that correspond to web robots; because the traffic of these autonomous systems occupies the bandwidth, reduces the performance of web servers and in some cases, threaten the security of human users. In this research, we propose a novel fuzzy algorithm based on the decision trees. In order to overcome the curse of dimensionality issue and facilitate the designing of the fuzzy inference system, we use a correlation analysis to eliminate some features. For converting each filtered attribute to a fuzzy variable, a C4.5 decision tree is used. It is worth mentioning that making a decision tree is based on choosing the best feature with the most information gain metric in each level of the tree. Therefore, we can reduce the number of attributes again. Finally, the fuzzy rules are extracted from the C4.5 decision tree and the fuzzy inference model is made.
Intelligent Handwritten Digit Recognition using Artificial Neural NetworkIJERA Editor
The aim of this paper is to implement a Multilayer Perceptron (MLP) Neural Network to recognize and predict handwritten digits from 0 to 9. A dataset of 5000 samples were obtained from MNIST. The dataset was trained using gradient descent back-propagation algorithm and further tested using the feed-forward algorithm. The system performance is observed by varying the number of hidden units and the number of iterations. The performance was thereafter compared to obtain the network with the optimal parameters. The proposed system predicts the handwritten digits with an overall accuracy of 99.32%.
Highly Secured Bio-Metric Authentication Model with Palm Print IdentificationIJERA Editor
For securing personal identifications and highly secure identification problems, biometric technologies will
provide higher security with improved accuracy. This has become an emerging technology in recent years due to
the transaction frauds, security breaches and personal identification etc. The beauty of biometric technology is it
provides a unique code for each person and it can’t be copied or forged by others. To overcome the draw backs
of finger print identification systems, here in this paper we proposed a palm print based personal identification
system, which is a most promising and emerging research area in biometric identification systems due to its
uniqueness, scalability, faster execution speed and large area for extracting the features. It provides higher
security over finger print biometric systems with its rich features like wrinkles, continuous ridges, principal
lines, minutiae points, and singular points. The main aim of proposed palm print identification system is to
implement a system with higher accuracy and increased speed in identifying the palm prints of several users.
Here, in this we presented a highly secured palm print identification system with extraction of region of interest
(ROI) with morphological operation there by applying un-decimated bi-orthogonal wavelet (UDBW) transform
to extract the low level features of registered palm prints to calculate its feature vectors (FV) then after the
comparison is done by measuring the distance between registered palm feature vector and testing palm print
feature vector. Simulation results show that the proposed biometric identification system provides more
accuracy and reliable recognition rate
Knowledge and Data Engineering IEEE 2015 ProjectsVijay Karan
List of Knowledge and Data Engineering IEEE 2015 Projects. It Contains the IEEE Projects in the Domain Knowledge and Data Engineering for the year 2015
As we know the fingerprint is unique of every living objects. It is quite difficult to find out the prints.
Usually the Forensics use Fine powder and duct tapes to identify the prints of living object. As powder is
exceptionally muddled, so such molecule can cause loss of information after that examination the information is
coordinated with the system. The proposed system consists of an embedded device in which it consists of ultra
light to glow the fingerprints details. After that we can detect the fingerprint, analysis and it will checks on the
database, and it will return the output after matching. For matching and analysis of the Fingerprint, we will be
using the Algorithm for matching.
Software Defect Prediction Using Radial Basis and Probabilistic Neural NetworksEditor IJCATR
Defects in modules of software systems is a major problem in software development. There are a variety of data mining
techniques used to predict software defects such as regression, association rules, clustering, and classification. This paper is concerned
with classification based software defect prediction. This paper investigates the effectiveness of using a radial basis function neural
network and a probabilistic neural network on prediction accuracy and defect prediction. The conclusions to be drawn from this work is
that the neural networks used in here provide an acceptable level of accuracy but a poor defect prediction ability. Probabilistic neural
networks perform consistently better with respect to the two performance measures used across all datasets. It may be advisable to use
a range of software defect prediction models to complement each other rather than relying on a single technique.
M.Phil Computer Science Wireless Communication ProjectsVijay Karan
List of Wireless Communication IEEE 2006 Projects. It Contains the IEEE Projects in the Domain Wireless Communication for M.Phil Computer Science students.
M.E Computer Science Wireless Communication ProjectsVijay Karan
List of Wireless Communication IEEE 2006 Projects. It Contains the IEEE Projects in the Domain Wireless Communication for M.E Computer Science students.
M.Phil Computer Science Parallel and Distributed System ProjectsVijay Karan
List of Parallel and Distributed System IEEE 2006 Projects. It Contains the IEEE Projects in the Domain Parallel and Distributed System for M.Phil Computer Science students.
M.E Computer Science Parallel and Distributed System ProjectsVijay Karan
List of Parallel and Distributed System IEEE 2006 Projects. It Contains the IEEE Projects in the Domain Parallel and Distributed System for M.E Computer Science students.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
1. M.Phil Computer Science Biometric System Projects
Web : www.kasanpro.com Email : sales@kasanpro.com
List Link : http://kasanpro.com/projects-list/m-phil-computer-science-biometric-system-projects
Title :Mimicry Attack on Strategy Based Behavioral Biometric
Language : C#
Project Link : http://kasanpro.com/p/c-sharp/mimicry-attack-strategy-based-behavioral-biometric
Abstract : Biometric security measures are becoming a popular approach to securing computer systems, computer
networks,as well as access to workplaces and recreational facilities. Unfortunately biometric systems can be a target
of impersonation attacks, making their security questionable. In this paper we concentrate on ways of spoofing
behavioral biometrics and analyze the types of spoofing attacks which can be employed against biometric systems.
The concept of strategy-based behavioral biometrics is introduced followed by our experimental results from spoofing
security systems based on strategy-based biometric technology. Finally an existing methodology is suggested to
counteract spoofing attacks against behavior-based biometric systems.
Title :A Framework for Efficient Finger Print Identification using a Minutiate Tree
Language : Matlab
Project Link : http://kasanpro.com/p/matlab/efficient-finger-print-identification-minutiate-tree
Abstract : Given the existence of large fingerprint databases,including distributed systems, the development of
algorithms for performing fast searches in them has become the important topic for biometric researchers. In this
paper, we propose a new indexing method for fingerprint templates consisting of a set of minutia points. In ontrast to
previously presented methods, our algorithm is tree-based and well addresses the efficiency needs of complex
(possibly distributed) systems. One large index tree is constructed and the enrolled templates are represented by the
leaves of the tree. The branches in the index tree correspond to different localconfigurations of minutia points.
Searching the index tree entails extracting local minutia neighborhoods of the test fingerprint and matching them
against tree nodes. Therefore, the search time does not depend on the number of enrolled fingerprint templates, but
only on the index tree configuration. This framework can be adapted for different tree-building parameters (feature
sets, indexing levels, bin boundaries) according to user requirements and different enrollment and searching
techniques can be applied to improve accuracy. We conduct a number of the experiments on Fingerprint Verification
Competition databases, as well as the databases of synthetically generated fingerprint templates. The experiments
confirm the ability of the proposed algorithm to find correct matches in the database and the minimum search time
requirements.
Title :A Person Authentication Approach using Score Level Fusion of Retina, Ear and Palmprint Biometrics
Language : Matlab
Project Link : http://kasanpro.com/p/matlab/person-authentication-score-level-fusion-retina-ear-palmprint-biometrics
Abstract : A multimodal biometric system for person authentication using three traita Retina , Ear and palmprint is
proposed. Our method involves feature extraction and feature matching of the above three traits , to provide an
efficient person authentication in highly secure areas. In order to enhance the recoginition accuracy, we have used a
fusion method that combines the matching scores of retina, plam: print and ear recognition systems. The validity of
our approach is then verified with experimental results. We have made a performance analysis using the image from
VARIA retina database, USTB ear database and CASIA palm print database. The experimental results show that our
proposed fusion method gives 98.2% recognition rate is higher than the unimodal approach.
Title :Iris Recognition Using Possibilistic Fuzzy Matching on Local Features
Language : Matlab
Project Link : http://kasanpro.com/p/matlab/iris-recognition-using-possibilistic-fuzzy-matching-local-features
2. Abstract : In this paper, we propose a novel possibilistic fuzzy matching strategy with invariant properties, which can
provide a robust and effective matching scheme for two sets of iris feature points. In addition, the nonlinear
normalization model is adopted to provide more accurate position before matching. Moreover, an effective iris
segmentation method is proposed to refine the detected inner and outer boundaries to smooth curves. For feature
extraction, the Gabor filters are adopted to detect the local feature points from the segmented iris image in the
Cartesian coordinate system and to generate a rotation-invariant descriptor for each detected point. After that, the
proposed matching algorithm is used to compute a similarity score for two sets of feature points from a pair of iris
images. The experimental results show that the performance of our system is better than those of the systems based
on the local features and is comparable to those of the typical systems.
Title :Contact-free hand geometry-based identification system
Language : Matlab
Project Link : http://kasanpro.com/p/matlab/contact-free-hand-geometry-based-identification-system
Abstract : This paper presents an approach for personal identification using hand geometrical features, in which the
infrared illumination device is employed to improve the usability of this hand recognition system. In the proposed
system, prospective users can place their hand freely in front of the camera without any pegs or templates. Moreover,
the proposed system can be widely used under dark environment and complex background scenarios. To achieve
better detection accuracy, in total 13 important points are detected from a palm image, and 34 features calculated
from these points are used to further recognition. Experimental results demonstrate that the averaged Correct
Identification Rate (CIR) is 96.23% and averaged False Accept Rate (FAR) is 1.85%. These results prove that the
proposed contact-free system can be considered as an effective identity verification system for practical applications.
M.Phil Computer Science Biometric System Projects
Title :Human Identification using Finger Images
Language : Matlab
Project Link : http://kasanpro.com/p/matlab/human-identification-finger-images
Abstract : This paper presents a new approach to improve the performance of finger vein identification systems
presented in the literature. The proposed system simultaneously acquires the finger vein and low resolution fingerprint
images and combines these two evidences using novel score level combination strategy. We examine the previously
proposed finger vein identification approaches and develop a new approach that illustrates it superiority over prior
published efforts. The utility of low resolution fingerprint images acquired from a webcam is examined to ascertain the
matching performance from such images. We develop and investigate two new score level combinations, i.e., holistic
and nonlinear fusion, and comparatively evaluate them with more popular score level fusion approaches to ascertain
their effectiveness in proposed system. The rigorous experimental results presented on the database of 6,264 images
from 156 subjects illustrate significant improvement in the performance, both from the authentication and recognition
experiments.
Title :Iris Data Indexing Method Using Gabor Energy Features
Language : Matlab
Project Link : http://kasanpro.com/p/matlab/iris-data-indexing-method-using-gabor-energy-features
Abstract : Biometric features are extracted from a complex pattern and stored as high dimensional data. These data
do not follow traditional sorting order like numerical and alphabetical data. Hence, a linear search method makes the
identification process extremely slow as well as increases the false acceptance rate beyond an acceptable range. To
address this problem, we propose an efficient indexing mechanism to retrieve iris biometric templates using Gabor
energy features. The Gabor energy features are calculated from the preprocessed iris texture in different scales and
orientations to generate a 12-dimensional index key for an iris template. An index space is created based on the
values of index keys of all individuals. A candidate set is retrieved from the index space based on the values of query
index key. Next, we rank the retrieved candidates according to their occurrences. If the identity of the query template
is matched, then it is a hit, otherwise a miss. We have experimented our approach with Bath, CASIA-V3-In- terval,
CASIA-V4-Thousand, MMU2, and WVU iris databases. Our proposed approach gives 11.3%, 14.5%, 16.3%, 13.5%,
and 10.3% penetration rates and 98.2%, 91.1%, 90.7%, 85.2%, and 96% hit rates for Bath, CASIA-V3-Interval,
CASIA-V4-Thousand, MMU2, and WVU iris database, respectively, when we consider the retrieving templates up to
the fifth rank. Experiments substantiate that our approach is capable of retrieving biometric data with a higher hit rate
and lower penetration rate compared to the existing approaches. Application of Gabor energy features to index iris
data proves to be effective for fast and accurate retrieval. With our proposed approach, it is possible to retrieve a set
of iris templates similar to the query template in the order of milliseconds and is independent of sizes of databases.
3. Title :An Embedded Real-Time Finger-Vein Recognition System for Mobile Devices
Language : Matlab
Project Link : http://kasanpro.com/p/matlab/finger-vein-recognition-system-mobile-devices
Abstract : With the development of consumer electronics, the demand for simple, convenient, and high-security
authentication systems for protecting private information stored in mobile devices has steadily increased. In
consideration of emerging requirements for information protection, biometrics, which uses human physiological or
behavioral features for personal identification, has been extensively studied as a solution to security issues. However,
most existing biometric systems have high complexity in time or space or both, and are thus not suitable for mobile
devices. In this paper, we propose a real-time embedded finger-vein recognition system for authentication on mobile
devices. The system is implemented on a DSP platform and equipped with a novel finger-vein recognition algorithm.
The proposed system takes only about 0.8 seconds to verify one input finger vein sample and achieves an equal error
rate (EER) of 0.07 on a database of 100 subjects. The experimental results demonstrate that the proposed finger-vein
recognition system is qualified for authentication on mobile devices.
http://kasanpro.com/ieee/final-year-project-center-thiruvarur-reviews
Title :Palm-Print Classification by Global Features
Language : Matlab
Project Link : http://kasanpro.com/p/matlab/palm-print-classification-global-features
Abstract : Three-dimensional 3D palm print has proved to be a significant biometrics for personal authentication.
Three- dimensional palm prints are harder to counterfeit than 2D palm prints and more robust to variations in
illumination and serious scrabbling on the palm surface. Previous work on 3D palm-print recognition has concentrated
on local features such as texture and lines. In this paper, we propose three novel global features of 3D palm prints
which describe shape information and can be used for coarse matching and indexing to improve the efficiency of
palm-print recognition, particularly in very large databases. The three proposed shape features are maximum depth of
palm center, horizontal cross-sectional area of different levels, and radial line length from the centroid to the boundary
of 3D palm-print horizontal cross section of different levels. We treat these features as a column vector and use
orthogonal linear discriminant analysis to reduce their dimensionality. We then adopt two schemes 1. coarse-level
matching and 2. ranking support vector machine to improve the efficiency of palmprint recognition. We conducted a
series of 3D palm-print recognition experiments using an established 3D palm-print database, and the results
demonstrate that the proposed method can greatly reduce penetration rates.
Title :Video-based Face Recognition Technology for Automotive Security
Language : Matlab
Project Link : http://kasanpro.com/p/matlab/video-based-face-recognition-technology-automotive-security
Abstract : In this paper, face recognition technology is applied to automotive security. Because the face system is
totally non-intrusive, it can therefore make an existing security system more effective without bothering the user in any
way. This paper introduce a video-based face recognition systems for auto security, and describe the face recognition
systems and algorithm in detail.
M.Phil Computer Science Biometric System Projects
Title :Palm - Print Recognition by 2D and 3D Features
Language : Matlab
Project Link : http://kasanpro.com/p/matlab/palm-print-recognition-2d-3d-features
Abstract : Palmprint recognition has now been a hot topic of research in the biometric system. Previous works are
focused on 3D and 2D features of palmprint as a separate research. Here we proposed an multi feature of palmprints
by the combination of 3D feature and 2D features. In this paper we propose three features of 3D palmprints and one
feature of 2D palmprint. They are maximum depth (MD), horizontal cross sectional area (HCA), radial line length
(RLL) and ridge minutiae. Then the classification of palmprints are made by support vector machine and euclidean
distance metrics.