基于粒子群算法与方向图法的指纹图像分割

Fingerprint Image Segmentation Based on Particle Swarm Optimization and Directional Image

指纹识别作为生物识别技术最为成功的应用之一,近年来已得到快速发展和普及.而指纹图像分割技术是指纹处理特征点提取的基础,同时也是高效识别指纹的关键,直接影响整个指纹识别系统的性能.本文在对相关的指纹图像分割方法分析的基础上,利用粒子群算法的阈值分割方法和方向图的指纹图像分割技术的优点,进一步研究并提出了一个混合分割方法.实验结果表明,这两种方法的结合运用可以获得良好指纹图像分割效果.

Fingerprint recognition as one of the most successful applications of biometric technology in recent years has been rapidly developed and become more and more popular. Fingerprint image segmentation technique is the basis of fingerprint processing feature point extraction, and is the key to the efficient identification of fingerprints, which directly affects the performance of the fingerprint identification system. This paper is based on the analysis of the fingerprint image segmentation methods, and develops a hybrid segmentation method by considering the advantages of the particle swarm algorithm and directional image algorithm. Computational results have shown that the hybrid method can obtain a good fingerprint image segmentation.