A Non-Statistical Reinstatement Algorithm for Orientation Field of Incomplete Fingerprint  

作　　者：JING Xiaojun ZHANG Bo LIU Xinjing WANG Dong 

机构地区：[1]School of Infornation 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, Beijing University o.f Posts and Telecommunications, Beijing 100876, China

出　　处：《Chinese Journal of Electronics》2012年第3期477-480,共4页电子学报（英文版）

基　　金：Manuscript Received July 2011; Accepted Nov. 2011. This work is supported by the National Natural Science Foundation of China （No.60872148, No.60702049）.

摘　　要：Fingerprint orientation is the key informa- tion in fingerprint enhancement and matching. Accord- ing to the problem of incomplete fingerprint orientation, a novel algorithm of fingerprint orientation reinstatement is proposed based on Local binary pattern （LBP） and mutual information function. Firstly, mutual information of finger- print orientation is computed. Secondly, the feature vec- tor is defined for incomplete area classification by Support vector machines （SVM）. Then, the fingerprint orientation field of the incomplete area is re-computed and measured by LBP and mutual information function. For orientation reinstatement~ LBP is used to measure the similarity of incomplete and complete area~ while the mutual informa- tion function is used to measure correlation and compe- tition of the neighborhood. Additionally, fuzzy criterion is proposed to assign different weights for neighborhood block and incomplete block for modifying orientation. As a result, the modified fingerprint orientation is used for post-processing. And the performance is shown in the ex- perimental and proves the efficiency and reliability of our algorithm.

关 键 词：Incomplete fingerprint Local binary pat-tern （LBP） Mutual Information Fuzzy criterion. 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TP301.6[自动化与计算机技术—计算机科学与技术]