NDLI: False Matches and Non-independence of Face Recognition Scores

Content Provider	IEEE Xplore Digital Library
Author	Quinn, G. Grother, P.
Copyright Year	2008
Description	Author affiliation: Nat. Inst. of Stand. & Technol., Gaithersburg, MD (Quinn, G.; Grother, P.)
Abstract	Although face recognition algorithms have made significant progress over the years, they still lack the accuracy to accomplish many of the more demanding tasks that have been proposed. To address this problem, several authors have suggested supplementing biometric systems with soft biometric information such as age, height, and sex to improve the overall accuracy of the system. However, the improvement is contingent on the matcher not already intrinsically factoring the soft biometric information into its comparison score. In fact, since soft biometric traits tend to be reflected in the physical characteristics of the face, such traits are expected to correlate with face matcher scores. In this paper, two methods are used to explore the statistical relationship between soft biometric traits and non-match scores generated by a leading commercial face recognition algorithm. The first method uses a generalized linear model (GLM) to determine how age, sex, and nationality covary with the probability of a false match. The second method uses sample partitioning for a more direct presentation of how the probability of a false match varies for different combinations of soft biometric values. Results indicate that age, nationality, and sex have a statistically significant effect on non-match scores. We explore what makes soft biometric information useful for the purpose of improving the accuracy of a biometric system under the assumption that the additional subject information is used to filter comparisons between subjects that have incompatible soft biometric characteristics (e.g. comparisons between men and women).
Starting Page	1
Ending Page	5
File Size	1605693
Page Count	5
File Format	PDF
ISBN	9781424427291
DOI	10.1109/BTAS.2008.4699325
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-09-29
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biometrics Face recognition Probability Watches Fingerprint recognition NIST Information filters Partitioning algorithms Information filtering Testing
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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