An effective algorithm for fingerprint reference point detection

摘要：

It is very important to detect the reference point effectively and accurately, especially in nonminutiae based fingerprint matching and fingerprint classification. In this paper, an effective algorithm based on block level for fingerprint reference point detection is proposed to simplify detection process and improve accuracy of the position of the point. The method is simple in the preprocessing and easy to implement. We used the Poincare Index on the block level, which is combined with the adaptive smoothing for getting a better orientation map and the directional consistency factor with the purpose of choosing the correct block. The proposed algorithm has been tested on fvc2002 and fvc2004 database. Experimental results show it is effective and practical.

关键词： reference point Poincare Index orientation field adaptive smoothing directional consistency factor

作者: Jun Ma Xiao jun Jing Bo Zhang Songlin Sun

作者单位: School of Information and Communication Engineering, Beijing University of Posts and Telecommunications Beijing, China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 200-203

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）