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MEN: Multi-Attribute Feature Selection for Face Recognition

P. Ramaraj, M. Prabakaran
2014 International Journal of Computer Applications  
To overcome the problem of false positive results, we propose MEN-Mouth, Eye and Nose features based multi attribute feature selection method for face recognition.  ...  Face recognition has become more sophisticated in biometric based authentication systems, which uses various facial features.  ...  An Automatic Face Detection System for RGB Images [8] is proposed that works for digital color images.  ... 
doi:10.5120/16178-4469 fatcat:3ppv2wuwzngqdalxbrjrgpiqiq

AUTOMATIC SEGMENTATION OF HUMAN IRIS IMAGES USING LOCALIZED ENERGYBASED ACTIVE CONTOUR MODEL

P.Kalavathi, JMR.Bhonesh Narayani
2016 Zenodo  
Iris recognition is biometric-based identification method which are more reliable and accurate authentication system.  ...  KEYWORDS Iris segmentation, Energy-based active contour method, Biometric authentication system, Iris recognition  ...  In iris recognition system, iris is separated from the captured eye image and compared with the iris feature from the stored information [5] .  ... 
doi:10.5281/zenodo.3525647 fatcat:idpzhg4kd5dhdhjikdtea7gvvy

Periocular Biometrics in the Visible Spectrum

Unsang Park, Raghavender Reddy Jillela, Arun Ross, Anil K. Jain
2011 IEEE Transactions on Information Forensics and Security  
eyebrows, 8) effect of pose variation and occlusion, 9) effect of masking the iris and eye region, and 10) effect of template aging on matching performance.  ...  Experimental results show a rank-one recognition accuracy of 87.32% using 1136 probe and 1136 gallery periocular images taken from 568 different subjects (2 images/subject) in the Face Recognition Grand  ...  Most face recognition systems use a holistic approach, which requires a full face image to perform recognition.  ... 
doi:10.1109/tifs.2010.2096810 fatcat:7siwrbus55epjpzfmtscikzxpi

A Review on Security of Multimodal Biometrics

Muskaan Muskaan, Tarun Gulati
2015 International Journal of Computer Applications  
The different biometrics used now-a-days are fingerprints, iris, face recognition, handwriting, gesture, retina, ear height etc.  ...  ID cards, Access cards, Punch, PIN, USER ID, passwords are used for identification but ID cards can be stolen or can be lost and user id s and passwords can be forgotten.  ...  ADVANTAGES OF MULTI BIOMETRICS In single biometric system we use only one system e.g. Iris System, Fingerprint system or Face Recognition System.  ... 
doi:10.5120/20763-3193 fatcat:a4uxlsxf6ffydc6gegcvx2udxq

A Face Recognition System Based on Local Feature Analysis [chapter]

Stefano Arca, Paola Campadelli, Raffaella Lanzarotti
2003 Lecture Notes in Computer Science  
In this paper a completely automatic face recognition system is presented.  ...  The system is inspired by the elastic bunch graph method, but the fiducial point localization is completely different and does not require any operator intervention.  ...  The whole face recognition system has been tested on a database of 300 images of 50 subjects.  ... 
doi:10.1007/3-540-44887-x_22 fatcat:x22pq5dccbdpdlkobjgz2bst3m

Authentication System for Smart Homes Based on ARM7TDMI-S and IRIS-Fingerprint Recognition Technologies

Fredrick R. Ishengoma
2014 International Journal of Information Engineering and Electronic Business  
, system users must enroll their fingerprints and eyes into the camera.  ...  Conversely, studies have shown that biometrics authentication systems particularly Iris Recognition Technology (IRT) and Fingerprint Recognition Technology (FRT) have the most reliable mechanisms to date  ...  ⁄ ∑ ( ) (1) 2) Iris Recognition Technology (IRT) This is the type of biometric mechanism that uses iris of the eye and compares iris patterns for identifying a person.  ... 
doi:10.5815/ijieeb.2014.06.08 fatcat:3wkgreqyjrfxpdwg2nhlh2bzmm

Biometric System Vulnerabilities: A Typology of Metadata

Abdou-Aziz Sobabe, Tahirou Djara, Antoine Vianou
2020 Advances in Science, Technology and Engineering Systems  
The implementation resulted in encouraging results with an Area Under the Curve (AUC) of 0.826 for the face system and 0.908 for the multimodal system.  ...  Faced with the proliferation of cases of identity theft and fraud, biometrics is increasingly used to protect assets and people in several areas such as commercial, forensic and government applications  ...  Height, eye color, etc.  ... 
doi:10.25046/aj050125 fatcat:zkpeivnqtbaktg5khiy2jqoa4i

Prodigious Utilization of Genetic Algorithm in Tuning Gabor filter parametersin the Application of Iris Recognition

Yogesh Karunakar
2011 International Journal of Information and Electronics Engineering  
Many methods are used in practice for security systems. Most common being the face recognition, voice recognition and biometric methods.  ...  banks for iris recognition.  ...  Many methods are used in practice for security systems. Most common being the face recognition, voice recognition and biometric methods.  ... 
doi:10.7763/ijiee.2011.v1.8 fatcat:oowcdbdmozhcdp5mtua3nz3j5u

An Automated Video-Based System for Iris Recognition [chapter]

Yooyoung Lee, P. Jonathon Phillips, Ross J. Micheals
2009 Lecture Notes in Computer Science  
We have successfully implemented a Video-based Automated System for Iris Recognition (VASIR), evaluating its successful performance on the MBGC dataset.  ...  The proposed method facilitates the ultimate goal of automatically detecting an eye area, extracting eye images, and selecting the best quality iris image from video frames.  ...  Filliben who was extremely helpful in analyzing datasets and plotting the graphs.  ... 
doi:10.1007/978-3-642-01793-3_117 fatcat:q2zyasko5ngk5pvgxdkjmu2hay

Fusion of Face and Iris Biometrics [chapter]

Ryan Connaughton, Kevin W. Bowyer, Patrick J. Flynn
2012 Handbook of Iris Recognition  
Acknowledgements Datasets used in this work were acquired under funding from the National Science Foundation under grant CNS01-30839, by the Central Intelligence Agency, and by the Technical Support Working  ...  Examples of multi-sample systems include systems that consider multiple fingerprints or both irises for recognition.  ...  Detection Results Across the entire dataset, 14,829 left irises and 14,711 right irises were detected and successfully segmented, and 9,833 faces were detected with valid eye locations for alignment.  ... 
doi:10.1007/978-1-4471-4402-1_12 dblp:series/acvpr/ConnaughtonBF13 fatcat:vag7tqvepbcbhgijjtc6stsa4e

Fusion of Face and Iris Biometrics [chapter]

Ryan Connaughton, Kevin W. Bowyer, Patrick J. Flynn
2016 Advances in Computer Vision and Pattern Recognition  
Acknowledgements Datasets used in this work were acquired under funding from the National Science Foundation under grant CNS01-30839, by the Central Intelligence Agency, and by the Technical Support Working  ...  Examples of multi-sample systems include systems that consider multiple fingerprints or both irises for recognition.  ...  Detection Results Across the entire dataset, 14,829 left irises and 14,711 right irises were detected and successfully segmented, and 9,833 faces were detected with valid eye locations for alignment.  ... 
doi:10.1007/978-1-4471-6784-6_17 fatcat:dh6hf7tslvgtdafwtb5fsaavym

Authentication System for Smart Homes Based on ARM7TDMI-S and IRIS-Fingerprint Recognition Technologies [article]

Fredrick Romanus Ishengoma
2014 arXiv   pre-print
, system users must enroll their fingerprints and eyes into the camera.  ...  Conversely, studies have shown that biometrics authentication systems particularly Iris Recognition Technology (IRT) and Fingerprint Recognition Technology (FRT) have the most reliable mechanisms to date  ...  The user will stand, face and stare at this camera. This camera will take the image of user's eye and scan his iris. of the user.  ... 
arXiv:1410.0534v1 fatcat:boivx65skzfnxkop7s24p52r2q

VASIR: An Open-Source Research Platform for Advanced Iris Recognition Technologies

Yooyoung Lee, Ross J. Micheals, James J. Filliben, P. Jonathon Phillips
2013 Journal of Research of the National Institute of Standards and Technology  
The VASIR (Video-based Automatic System for Iris Recognition) 2 platform includes means for compensating for such challenges.  ...  VASIR (Video-based Automatic System for Iris Recognition) is a state-of-the-art NIST-developed iris recognition software platform designed to systematically address these vulnerabilities.  ...  systems for classic-still-based iris recognition as well.  ... 
doi:10.6028/jres.118.011 pmid:26401431 pmcid:PMC4487315 fatcat:j3o4o2zfknasfkli5p2wyjp53a

Unconstrained Iris Acquisition and Recognition Using COTS PTZ Camera

Shreyas Venugopalan, Marios Savvides
2010 EURASIP Journal on Advances in Signal Processing  
We employ state-of-the-art techniques for face detection and a robust eye detection scheme using active shape models for accurate landmark localization.  ...  Uniqueness of iris patterns among individuals has resulted in the ubiquity of iris recognition systems in virtual and physical spaces, at high security facilities around the globe.  ...  Figure 9 shows different subjects and their irises acquired automatically using our proposed system.  ... 
doi:10.1155/2010/938737 fatcat:5scvj7vnljhwhbx37quxzho5zy

Nonintrusive iris image acquisition system based on a pan-tilt-zoom camera and light stripe projection

Soweon Yoon
2009 Optical Engineering: The Journal of SPIE  
and focusing on the user's irises at a distance are accurate and fast using the estimated 3-D position of a face by the light stripe projection and the PTZ camera.  ...  Specifically, users try to adjust their eye position within small capture volume at a close distance from the system.  ...  Acknowledgments This work was supported by the Korea Science and Engineering Foundation ͑KOSEF͒ through the Biometrics Engineering Research Center ͑BERC͒ at Yonsei University.  ... 
doi:10.1117/1.3095905 fatcat:ayauxwxrazh2nbxrwqhfphytxm
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