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

页码：1441 / 1444

页数：4

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