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
收藏
页码：262 / 276
页数：15
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