The fingerprint image noise reducing and minutia matching in verification

被引：0
|
作者：
Jin, SP [1 ]
Zeng, ML [1 ]
Chen, DF [1 ]
机构：
[1] Wuhan Univ Technol, Dept Stat, Wuhan 430063, Peoples R China
来源：
WAVELET ANALYSIS AND ITS APPLICATIONS (WAA), VOLS 1 AND 2 | 2003年
关键词：
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
An automatic fingerprint identification system (AFIS) is widely needed nowadays. It plays a very important role in forensic and civilian applications such as criminal identification, access control, and ATM card or IC card verification. This paper first uses discrete wavelet transformation to reduce fingerprint image noise and then constructs a model for minutia matching and an algorithm based on alignment is presented to meet the on-line fingerprint verification speed requirement. The model and the algorithm are also effectual to general control point matching problems.
引用
收藏
页码：774 / 779
页数：6
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