Fingerprint Image Segmentation using Modified Fuzzy C-Means Algorithm

摘要：

Fingerprint segmentation is a crucial step in fingerprint recognition system, and determines the results of fingerprint analysis and recognition. In this paper, an approach for fingerprint segmentation based on modified fuzzy c-means (FCM) is presented. The proposed algorithm is realized by modifying the objective function in the Szilagyis algorithm via introducing the gray histogram-based weighting. Experimental results show that proposed method can extract the fingerprint effectively and efficiently from original image.

关键词： fingerprint segmentation fuzzy c-means

作者: Jiayin Kang Wenjuan Zhang

作者单位: School of Electronics Engineering,Huaihai Institute of Technology,Lianyungang,China School of Computer Engineering,Huaihai Institute of Technology,Lianyungang,China

会议类型: 国际会议

会议名称: The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2009-06-11（万方平台首次上网日期，不代表论文的发表时间）