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

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