A robust face recognition system

被引：0

作者：

Pang, YH ^{[1
]}

Jin, ATB ^{[1
]}

Ling, DNC ^{[1
]}

机构：

[1] Multimedia Univ, Fac Informat Sci & Technol, Melaka 75450, Malaysia

来源：

AI 2005: ADVANCES IN ARTIFICIAL INTELLIGENCE | 2005年 / 3809卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper proposes a robust face recognition system, by providing a strong discrimination power and cancelable mechanism to biometrics data. Fisher's Linear Discriminant uses pseudo Zemike moments to derive an enhanced feature subset. On the other hand, the revocation capability is formed by the combination of a tokenized pseudo-random data and the enhanced template. The inner product of these factors generates a user-specific binary code, face-Hash. This two-factor basis offers an extra protection layer against biometrics fabrication since face-Hash authenticator is replaceable via token replacement.

引用

页码：1217 / 1220

页数：4

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