Improved Adaptive Threshold Algorithm for Fingerprint Segmentation Based on Multiple Features

摘要：

Segmentation is an important step in a fingerprint recognition system. Different methods have been proposed for fingerprint segmentation. In this paper, some of the most important segmentation methods are introduced and an improved adaptive threshold algorithm based on multiple features is introduced and implemented. Morphology technology is applied as post processing to obtain a smooth contour line. The FVC2004 is selected as a standard database, to implement each method. Experimental results prove that the algorithm provides very accurate segmentation even for low quality images.

关键词： Fingerprint segmentation Gray variance Blocks orientation degree Coherence Adaptive threshold

作者: Xiuyou Wang Hao Wang Jianzhong Fan Feng Wang

作者单位: School of Computer and Information Fu yang Normal College Fuyang, China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 218-222

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）