Minutia verification using fuzzy logic and geographic points of reference

被引：0

作者：

Vert, G ^{[1
]}

Nasser, S ^{[1
]}

机构：

[1] Univ Nevada, Dept Comp Sci, Reno, NV 89509 USA

来源：

FUZZ-IEEE 2005: PROCEEDINGS OF THE IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS: BIGGEST LITTLE CONFERENCE IN THE WORLD | 2005年

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：

Personal identification numbers are commonly used for user authentication. Biometric based digital signatures have evolved as a means of personal identification. Using biometric data securely and accurately is the most important concern in biometric based signature validation. Approaches to verifying biometric data which is the same as scanned data have been error prone. This paper uses a fuzzy set theory, geographic reference points and self updating database approach to improve the authentication verification of fingerprint data.

引用

页码：839 / 844

页数：6

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