Effective Method for the Segmentation of Fingerprint Images Based on New Feature
一种基于新特征的有效指纹图像分割算法

The segmentation of fingerprint images plays a very important role in Automatic Fingerprint Identification System (AFIS).Effective segmentation can not only reduce the time of subsequent processing, but also improve the relia-bility of feature extraction considerably.This paper mainly contains two works: proposed a new segmentation feature for fingerprint images which is called Effective Point Cluster Degree (EPCD) ; proposed an effective method for the segmen-tation of fingerprint images based on the new feature and CluD mentioned in reference1], in this new method, we first segmented fingerprint images with EPCD, and then processed the first segmentation results with iteration-based me-thod,did the second segmentation with CLuD based on the processed results, and finally, morphology was applied as postprocessing to reduce misclassification.All experimental results show that:compared with other commonly used fea-tures, the EPCD holds the characteristics of good discriminability, robustness, and the segmented foreground and back-ground are more concentrated;at the same time, the segmented method based on EPCD and CluD possesses high accura-cy and adaptability.