Fingerprint Recognition on Various Authentication Sensors  

作　　者：A.Tirupathi Rao N.Pattabhi Ramaiah C.Krishna Mohan 

机构地区：[1]Department of Computer Science and Engineering,Indian Institute of Technology

出　　处：《Journal of Electronic Science and Technology》2014年第1期134-138,共5页电子科技学刊（英文版）

摘　　要：Fingerprint is a very popular and an ancient biometric technology to uniquely identify a person. In this paper, a fingerprint matcher is proposed which uses the global and local adaptive binarization and global minutia features. The fingerprint data is collected using three different authentication devices based on optical sensors. The experimental results are compared with the National Institute of Standards and Technology （NIST） Bozorth algorithm and various authentication fingerprint sensors. The accuracy of the proposed algorithm has been improved significantly compared with that of the NIST Bozorth algorithm.Fingerprint is a very popular and an ancient biometric technology to uniquely identify a person. In this paper, a fingerprint matcher is proposed which uses the global and local adaptive binarization and global minutia features. The fingerprint data is collected using three different authentication devices based on optical sensors. The experimental results are compared with the National Institute of Standards and Technology （NIST） Bozorth algorithm and various authentication fingerprint sensors. The accuracy of the proposed algorithm has been improved significantly compared with that of the NIST Bozorth algorithm.

关 键 词：-Authentication sensors binarization Bozorth algorithm FINGERPRINTS NIST. 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TP212[自动化与计算机技术—计算机科学与技术]