GAIT AUTHENTICATION USING DISTRIBUTED SOURCE CODINGc

被引：1

作者：

Argyropoulos, S. ^{[1
,2
]}

Tzovaras, D. ^{[2
]}

Ioannidis, D. ^{[2
]}

Strintzis, M. G. ^{[1
,2
]}

机构：

[1] Aristotle Univ Thessaloniki, Dept Elect & Comp Engn, GR-54124 Thessaloniki, Hellas, Greece

[2] Ctr Res & Technol Hellas, Informat & Telemat Inst, Thessaloniki 50071, Greece

来源：

2008 15TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-5 | 2008年

关键词：

Biometric authentication; distribute source coding; gait recognition; channel coding;

D O I：

10.1109/ICIP.2008.4712453

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A novel gait authentication scheme based on distributed source coding principles is proposed. Biometric recognition is formulated as a coding problem with noisy side information at the decoder and error correcting codes are employed for user authentication. The effective exploitation of the noise channel statistics in the decoding process improves performance. It is also shown that the proposed method increases the security of the stored biometric templates. Gait recognition is based on the extraction of depth data from human silhouettes and a set of discriminative features. The experimental results demonstrate the validity of the proposed method.

引用

页码：3108 / 3111

页数：4

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