吉林大学学报(工学版) ›› 2012, Vol. 42 ›› Issue (02): 459-462.

Previous Articles     Next Articles

Coarse alignment of fingerprint images based on orientation difference field

CHEN Hui1, YIN Jian-ping1, SHU Xin2, ZHU En1, HU Chun-feng1   

  1. 1. School of Computer Science, National University of Defense Technology, Changsha 410073, China;
    2. The Military Economics Academy Xiangfan College, Xiangyang 441118, China
  • Received:2010-12-14 Online:2012-03-01 Published:2012-03-01

PDF (PC)

636

Abstract: Fingerprint orientation field is used to align two fingerprint images coarsely in the early fingerprint image match stage; then the overlapped regions between the two fingerprint impressions are segmented. To avoid spending too much time in correlating two fingerprint orientation images, fingerprint orientation difference field is defined, and before the orientation- field-based fingerprint image alignment, the orientation field is transferred to orientation difference field. It not only reduces the computation cost, but also helps to reduce the effect of global distortion on fingerprint orientation images. Experiment results show that the proposed method can improve the accuracy and efficiency of fingerprint image alignment.

Key words: computer application, fingerprint verification, fingerprint orientation field, orientation difference field, fingerprint image alignment

CLC Number: 

  • TP391
[1] Karu K, Jain A K. Fingerprint classification［J］. Pattern Recognition, 1996, 29(3): 389-404.

[2] Jain A K, Hong L, Pankanti S, et al. An identity-authentication system using fingerprints//Proceedings of the IEEE, Crans Montana, Switzerland, 1997.

[3] Tico M, Kuosmanen P. Fingerprint matching using an orientation-based minutia descriptor［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 25(8): 1009-1014.

[4] Tong Xi-feng, Huang Jian-hua, Tang Xian-long, et al. Fingerprint minutiae matching using the adjacent feature vector［J］. Pattern Recognition Letters, 2005, 26(9): 1337-1345.

[5] Grasselli A. On the Automatic Classification of Fingerprints［M］. New York:Academic Press, 1969.

[6] Bazen A M, Gerez S H. Systematic methods for the computation of the directional fields and singular points of fingerprints［J］. IEEE Transactions on PAMI, 2002, 24(7): 905-919.

[7] Gu J, Zhou J. A novel model for orientation field of fingerprints//Proceedings of CVPR, Madison, WI, USA, 2003.

[8] Yager N, Amin A. Coarse fingerprint registration using orientation fields［J］. Eurasip Journal on Applied Signal Processing, 2005(13):2043-2053.
[1] LIU Fu,ZONG Yu-xuan,KANG Bing,ZHANG Yi-meng,LIN Cai-xia,ZHAO Hong-wei. Dorsal hand vein recognition system based on optimized texture features [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1844-1850.
[2] WANG Li-min,LIU Yang,SUN Ming-hui,LI Mei-hui. Ensemble of unrestricted K-dependence Bayesian classifiers based on Markov blanket [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1851-1858.
[3] JIN Shun-fu,WANG Bao-shuai,HAO Shan-shan,JIA Xiao-guang,HUO Zhan-qiang. Synchronous sleeping based energy saving strategy of reservation virtual machines in cloud data centers and its performance research [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1859-1866.
[4] ZHAO Dong,SUN Ming-yu,ZHU Jin-long,YU Fan-hua,LIU Guang-jie,CHEN Hui-ling. Improved moth-flame optimization method based on combination of particle swarm optimization and simplex method [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1867-1872.
[5] LIU En-ze,WU Wen-fu. Agricultural surface multiple feature decision fusion disease judgment algorithm based on machine vision [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1873-1878.
[6] OUYANG Dan-tong, FAN Qi. Clause-level context-aware open information extraction [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1563-1570.
[7] LIU Fu, LAN Xu-teng, HOU Tao, KANG Bing, LIU Yun, LIN Cai-xia. Metagenomic clustering method based on k-mer frequency optimization [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1593-1599.
[8] GUI Chun, HUANG Wang-xing. Network clustering method based on improved label propagation algorithm [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1600-1605.
[9] LIU Yuan-ning, LIU Shuai, ZHU Xiao-dong, CHEN Yi-hao, ZHENG Shao-ge, SHEN Chun-zhuang. LOG operator and adaptive optimization Gabor filtering for iris recognition [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1606-1613.
[10] CHE Xiang-jiu, WANG Li, GUO Xiao-xin. Improved boundary detection based on multi-scale cues fusion [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1621-1628.
[11] ZHAO Hong-wei, LIU Yu-qi, DONG Li-yan, WANG Yu, LIU Pei. Dynamic route optimization algorithm based on hybrid in ITS [J]. 吉林大学学报(工学版), 2018, 48(4): 1214-1223.
[12] HUANG Hui, FENG Xi-an, WEI Yan, XU Chi, CHEN Hui-ling. An intelligent system based on enhanced kernel extreme learning machine for choosing the second major [J]. 吉林大学学报(工学版), 2018, 48(4): 1224-1230.
[13] FU Wen-bo, ZHANG Jie, CHEN Yong-le. Network topology discovery algorithm against routing spoofing attack in Internet of things [J]. 吉林大学学报(工学版), 2018, 48(4): 1231-1236.
[14] CAO Jie, SU Zhe, LI Xiao-xu. Image annotation method based on Corr-LDA model [J]. 吉林大学学报(工学版), 2018, 48(4): 1237-1243.
[15] HOU Yong-hong, WANG Li-wei, XING Jia-ming. HTTP-based dynamic adaptive streaming video transmission algorithm [J]. 吉林大学学报(工学版), 2018, 48(4): 1244-1253.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright © Journal of Jilin University(Engineering and Technology Edition), All Rights Reserved.
Tel: +86-431-85095297　Fax: +86-431-85094074　E-mail: xbgxb@jlu.edu.cn
Powered by Beijing Magtech Co. Ltd