Design of Online Non-contact Palmprint Recognition Simulation System

被引:0
作者
Lin, Sen [1 ]
Bai, Yuchen [1 ]
Tang, Yonghua [2 ]
机构
[1] Liaoning Tech Univ, Sch Elect & Informat Engn, Huludao, Peoples R China
[2] Shenyang Univ Technol, Comp Vis Grp, Shenyang, Peoples R China
来源
2016 9TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI 2016) | 2016年
关键词
biometric identification; non-contact; palmprint; feature extraction; simulation system;
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Palmprint has rich texture information, and palmprint recognition is a very promising biometric identification technology. To study online palmprint identification technology under non-contact mode, a novel and simple method for online palmprint identification technology is presented, and a palmprint recognition simulation system is designed in this paper. Firstly, based on the coordinate position of finger-root in palm outline and by locating the contour feature points of palm, the palmprint region of interest (ROI) is intercepted, and then the block mean gray values are extracted as the palmprint features, finally the feature matrix distance is used for the palmprint matching. The online palmprint recognition simulation system is realized including palmprint collection module, preprocessing module, feature extraction module and feature matching module, and the experimental results in the non-contact palmprint database show that the method can obtain a good recognition effect, which is simple and has application prospect.
引用
收藏
页码:686 / 690
页数:5
相关论文
共 13 条
[1]   Contactless palmprint and knuckle biometrics for mobile devices [J].
Choras, Michal ;
Kozik, Rafal .
PATTERN ANALYSIS AND APPLICATIONS, 2012, 15 (01) :73-85
[2]  
Dai XD, 2010, LECT NOTES COMPUT SC, V6215, P460
[3]  
Guo Jin-yu, 2008, Computer Engineering, V34, P212
[4]  
Hao Y, 2008, IEEE IMAGE PROC, P281, DOI 10.1109/ICIP.2008.4711746
[5]   A Unified Framework for Contactless Hand Verification [J].
Kanhangad, Vivek ;
Kumar, Ajay ;
Zhang, David .
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2011, 6 (03) :1014-1027
[6]   Palmprint recognition using eigenpalms features [J].
Lu, GM ;
Zhang, D ;
Wang, KQ .
PATTERN RECOGNITION LETTERS, 2003, 24 (9-10) :1463-1467
[7]   Palmprint recognition using Gabor-based local invariant features [J].
Pan, Xin ;
Ruan, Qiu-Qi .
NEUROCOMPUTING, 2009, 72 (7-9) :2040-2045
[8]   Defocused Palmprint Recognition Using 2DPCA [J].
Sang, Hai-feng ;
Liu, Fang .
2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, VOL I, PROCEEDINGS, 2009, :611-615
[9]   A review of biometric technology along with trends and prospects [J].
Unar, J. A. ;
Seng, Woo Chaw ;
Abbasi, Almas .
PATTERN RECOGNITION, 2014, 47 (08) :2673-2688
[10]  
Wu W., 2013, APPL MECH MAT, V347, P3469