Fingerprint image enhancement using CNN Gabor-Type filters

被引：12
|
作者：
Saatci, E [1 ]
Tavsanoglu, V [1 ]
机构：
[1] S Bank Univ, London SE1 0AA, England
来源：
CELLULAR NEURAL NETWORKS AND THEIR APPLICATIONS | 2002年
关键词：
D O I：
10.1109/CNNA.2002.1035073
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Fingerprint images are mostly worsened by various kinds of noise causing cracks, scratches and bridges in the ridges as well as ink blurs. These cause matching errors in fingerprint recognition. For an effective recognition the correct ridge pattern is essential which requires the enhancement of fingerprint images. A fingerprint pattern consists of ridges. Segment by segment analysis of the pattern yields various ridge direction and frequencies. By selecting a directional filter with correct filter parameters to match ridge features at each point, we can effectively enhance fingerprint ridges. This paper proposes a fingerprint image enhancement based on CNN Gabor-Type filters.
引用
收藏
页码：377 / 382
页数：6
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