A Fusion Scheme of Region of Interest Extraction in Incomplete Fingerprint  

作　　者：JING Xiaojun ZHANG Bo ZHANG Jie ZHONG Mingliang 

机构地区：[1]School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China [2]Key Laboratory of Trustworthy Distributed Computing and Service(BUPT),Ministry of Education

出　　处：《Chinese Journal of Electronics》2012年第4期663-666,共4页电子学报（英文版）

基　　金：This work is supported by the National Natural Science Foundation of China （No.60872148, No.60702049）.

摘　　要：A fusion scheme is proposed for incomplete fingerprint to extract the Region of interest （ROI） centered at the reference point. Firstly, the orientation entropy is computed. Secondly, it is necessary for ROI extraction to segment foreground and background efficiently. So, the feature vector, based on orientation and gray, is defined for segmentation with SVM. Then, the fingerprint segmentation of the incomplete area is re-computed and measured with correlation and competition oftexture, which is based on Local binary pattern （LBP）. Finally, the proposed method is based on mutual information of fingerprint orientation and Poincare Index to detect the reference point of fingerprints and then extract ROI. The performance of the new method is evaluated on FVC2004 database. And the performance is shown in the experiments and proves that it could locate the position of reference point of all type fingerprints more effectively and precisely.

关 键 词：Incomplete fingerprint recognition Re- gion of interest （ROI） Fusion criterion. 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] O175[自动化与计算机技术—计算机科学与技术]