báo cáo hóa học:" Research Article Sorted Index Numbers for Privacy Preserving Face Recognition"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Sorted Index Numbers for Privacy Preserving Face Recognition | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 260148 16 pages doi 2009 260148 Research Article Sorted Index Numbers for Privacy Preserving Face Recognition Yongjin Wang and Dimitrios Hatzinakos The Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto 10 King s College Road Toronto ON Canada M5S 3G4 Correspondence should be addressed to Yongjin Wang ywang@ Received 30 September 2008 Revised 3 April 2009 Accepted 18 August 2009 Recommended by Jonathon Phillips This paper presents a novel approach for changeable and privacy preserving face recognition. We first introduce a new method of biometric matching using the sorted index numbers SINs of feature vectors. Since it is impossible to recover any of the exact values of the original features the transformation from original features to the SIN vectors is noninvertible. To address the irrevocable nature of biometric signals whilst obtaining stronger privacy protection a random projection-based method is employed in conjunction with the SIN approach to generate changeable and privacy preserving biometric templates. The effectiveness of the proposed method is demonstrated on a large generic data set which contains images from several well-known face databases. Extensive experimentation shows that the proposed solution may improve the recognition accuracy. Copyright 2009 Y. Wang and D. Hatzinakos. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. Introduction Biometric recognition has been an active research area in the past two decades. Biometrics-based recognition systems determine or confirm the identity of an individual based on the physiological and or behavioral characteristics 1 . A wide variety of biometric modalities have been .

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