Fingerprint feature extraction based on invariant moments and Gabor filters

被引：0
|
作者：
Yang, Ju Cheng [1 ]
Park, Dong Sun [1 ]
机构：
[1] Chonbuk Natl Univ, Div Elect & Informat Engn, Jeonju 561756, Jeonbuk, South Korea
来源：
DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS | 2007年 / 14卷
关键词：
fingerprint recognition; invariant moments; gabor filters; k-NN;
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
A fingerprint feature extraction method based on invariant moments and Gabor filters is proposed. The fingerprint image first preprocessed to be enhanced for determining the reference point. Then, a total of sets of invariant moment features and Gabor features are extracted from four partition sub-images of a Region of Interest (ROI) to represent the fingerprint image. Matching the similarity between the feature vectors of test fingerprint images and those of template images is implemented by k-nearest neighbour (k-NN) classifier. The experimental results prove the feasibility of our algorithm.
引用
收藏
页码：1441 / 1444
页数：4
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