A METHOD OF THE REGION OF INTEREST EXTRACTION BASED ON ORIENTATION ENTROPY

摘要：

In this paper, a novel method based on orientation entropy is proposed for incomplete fingerprint to extract the Region of Interest (ROI) centered at the reference point, which is applied to achieve fingerprint matching and fingerprint classification instead of the whole fingerprint information. Firstly, according to the properties of competition of the local fingerprint, complementation and redundancy of the global fingerprint, the gradient dispersion function is proposed, adaptively. Secondly, the orientation entropy is computed. Then, the proposed method is based on orientation entropy and Poincare Index to detect the reference point of fingerprints, and then extract ROI. Experiment results executed on FVC2004 Set B prove that it could locate the position of reference point of all type fingerprints more effectively and precisely. In addition, it is robust to resolution and rotation.

关键词： incomplete fingerprint ROI orientation entropy Poincare Index reference point

作者: Bo Zhang Shaole Zhang Jie Zhang Xiaojun Jing

作者单位: School of Information and Communication Engineering,Beijing University of Posts and Telecommunications, Beijing 100876, China

会议类型: 国际会议

会议名称: 2011 4th IEEE International Conference on Broadband Network & Multimedia Technology(第四届IEEE宽带网络与多媒体国际会议 4th IEEE IC-BNMT2011)

会议地点: 深圳

会议语种:英文

页码: 664-669

在线出版日期: 2011-10-28（万方平台首次上网日期，不代表论文的发表时间）