基于Gabor相位的指纹图像细化算法

北京大学学报（自然科学版）

基于Gabor相位的指纹图像细化算法

高欣,刘重晋,封举富

北京大学信息科学技术学院智能科学系, 机器感知与智能教育部重点实验室, 北京 100871;

收稿日期:2011-03-02 出版日期:2012-01-20 发布日期:2012-01-20

A Novel Algorithm of Fingerprint Thinning Based on Gabor Phase

GAO Xin, LIU Chongjin, FENG Jufu

Key Laboratory of Machine Perception MOE, Peking University, Department of Machine Intelligence, School of Electronics Engineering and Computer Science, Peking University, Beijing 100871;

Received:2011-03-02 Online:2012-01-20 Published:2012-01-20

摘要/Abstract

摘要： 利用复数形式的Gabor滤波器, 在对指纹图像进行增强的同时, 得到增强图像的相位, 再利用边缘检测的方法提取相位图中的跳变区域, 直接得到脊线的细化结果。此方法不同于传统的模板匹配的细化算法, 不需要对图像进行二值化, 减少了中间步骤, 从而提高了细化速度和细化结果的准确性。实验结果表明此方法具有更短的细化时间和更好的细化效果。

关键词: 指纹细化, 指纹识别, 图像处理

Abstract: The authors propose a novel method of fingerprint thinning based on the Gabor-phase image. The Gabor-phase image is an intermediate result of fingerprint enhancing, and the ridge center can be located at the discontinuities of the phase image. The authors utilize an edge-detect-like method to extract the thinned ridges from the phase image. This strategy is different from most existing algorithm which requires extra steps of image binarization so that it can improve both the efficiency and accuracy. Experimental results demonstrate that the proposed algorithm yields better thinning result in much less time.

Key words: fingerprint thinning, fingerprint recognition, image processing

中图分类号:

TP391

高欣,刘重晋,封举富. 基于Gabor相位的指纹图像细化算法[J]. 北京大学学报（自然科学版）.

GAO Xin,LIU Chongjin,FENG Jufu. A Novel Algorithm of Fingerprint Thinning Based on Gabor Phase[J]. Acta Scientiarum Naturalium Universitatis Pekinensis.

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https://xbna.pku.edu.cn/CN/Y2012/V48/I1/37