NDLI: Face dynamics for biometric people recognition

Content Provider	IEEE Xplore Digital Library
Author	Paleari, M. Velardo, C. Huet, B. Dugelay, J.-L.
Copyright Year	2009
Description	Author affiliation: Video-Analysis group, Multimedia Department, EURECOM, Sophia Antipolis, France (Paleari, M.; Huet, B.) \|\| Image Security and Biometric group, Multimedia Department, EURECOM, Sophia Antipolis, France (Velardo, C.; Dugelay, J.-L.)
Abstract	Biometric systems have gained the attention of both the research community and the industry becoming an important topic in real application scenarios. Face recognition is, with fingerprint, among the most used techniques since it is natural for humans to recognize people from facial appearance, since the technology is mature, and because, unlike fingerprint, it is completely unintrusive. Existing systems only focus on the appearance of the subjects considering facial expressions as an obstacle to their aim. On the other hand such systems presents several limitations when dealing with variable illumination conditions, head pose, day-to-day variations (e.g. beard, glasses, or make-up), etc. Furthermore, most of the current techniques do not exploit dynamics to detect the liveness of the tested subjects. In this paper we present a study on person recognition from the dynamics of the facial feature points. The aim of this work is to demonstrate that dynamics of facial expressions could be seen as a biometric characteristic. Therefore, only dynamic characteristics are considered and the adopted features are purged of all appearance information. The results clearly show that relevant biometric information can be extracted from facial expressions and other dynamics of the face.
Starting Page	1
Ending Page	5
File Size	297893
Page Count	5
File Format	PDF
ISBN	9781424444632
DOI	10.1109/MMSP.2009.5293300
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-05
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biometrics Face recognition Fingerprint recognition Hidden Markov models Humans Head Testing Active appearance model Image recognition Lighting
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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