Fingerprint-based recognition

被引：16

作者：

Dass, Sarat C. ^{[1
]}

Jain, Anil K.

机构：

[1] Michigan State Univ, Dept Stat & Probabil, E Lansing, MI 48824 USA

[2] Michigan State Univ, Dept Comp Sci & Engn, E Lansing, MI 48824 USA

来源：

TECHNOMETRICS | 2007年 / 49卷 / 03期

基金：

美国国家科学基金会;

关键词：

classification and indexing; fingerprint feature extraction; fingerprint individuality; fusion;

D O I：

10.1198/004017007000000272

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Biometric recognition, or biometrics, refers to the authentication of an individual based on her or his biometric traits. Among the various biometric traits (e.g., face, iris, fingerprint, voice), fingerprint-based authentication has the longest history, and it has been successfully adopted in both forensic and civilian applications. Advances in fingerprint capture technology have resulted in new large-scale civilian applications (e.g., US-VISIT program); however, these systems still encounter difficulties due to various noise factors present in operating environments. The purpose of this article is to give an overview of fingerprint-based recognition and discuss research opportunities for making these systems perform more effectively.

引用

页码：262 / 276

页数：15

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