An electric field model for orientation field estimation in fingerprint images

doi:10.7523/j.issn.2095-6134.2008.4.001

›› 2008, Vol. 25 ›› Issue (4): 433-438.DOI: 10.7523/j.issn.2095-6134.2008.4.001

• 论文 • Next Articles

An electric field model for orientation field estimation in fingerprint images

Fan ling-ling, Wang shu-guang, Guo tian-de

1 School of Mathematical Sciences, Graduate University of the Chinese Academy of Sciences, Beijing 100049, China;

2 Institute of Automation of the Chinese Academy of Sciences, Beijing 100080, China

Received:1900-01-01 Revised:1900-01-01 Online:2008-07-15

Abstract

Abstract:

An electric field model based on baseline and core points is proposed to estimate fingerprint orientation field. Orientation field firstly emerged in baseline and core area. Orientation field near baseline is parallel to baseline which is caused by baseline. Orientation field near core point is changeable which is influenced by core point. Then fingerprint orientation field outspreads. At last, orientation field converges at delta point. This model can explain well why core and delta points exist in pairs in fingerprint images. Experimental results in NIST-4 show that our model can estimate fingerprint orientation field fairly accurately.

Key words: fingerprint, orientation field, baseline, core point, electric field model

Fan ling-ling, Wang shu-guang, Guo tian-de. An electric field model for orientation field estimation in fingerprint images[J]. , 2008, 25(4): 433-438.

[1]	SHI Daheng, LIU Ligang, ZHOU Bin, BU Zhiyong. Fingerprinting localization of cross-temporal transferred and multi-source wireless signal fusion [J]. Journal of University of Chinese Academy of Sciences, 2021, 38(6): 817-824.
[2]	LI Bonan, ZHAO Tong, WU Min. Fast exact classification algorithm of massive fingerprint patterns based on capsule network [J]. , 2020, 37(3): 387-397.
[3]	JIANG Lu, ZHAO Tong, WU Min. Fingerprint pattern classification algorithm based on deep convolutional neural networks [J]. , 2016, 33(6): 808-814.
[4]	YAN Shujun, WANG Wenjie, ZHANG Yuqing. An efficient method of web fingerprint identification [J]. , 2016, 33(5): 679-685.
[5]	CAO Laicheng, ZHAO Jianjun, CUI Xiang, LI Ke. Cyberspace device identification based on K-means with cosine distance measure [J]. , 2016, 33(4): 562-569.
[6]	MA Meng, LI Daojing, PAN Zhouhao, DU Jianbo. System parameter estimation for airborne interferometric synthetic aperture radar with three-baseline [J]. , 2015, 32(6): 783-789.
[7]	WANG Meng, CUI Yulin, WANG Yinchu, LIU Zhengyi, QIN Song. MSRF analyses of methylation differences between two Enteromorpha prolifera populations (attached and free-floating) in Yellow Sea [J]. Journal of University of Chinese Academy of Sciences, 2014, 31(2): 182-186.
[8]	WANG Jing, LIU Zhong-Sheng, DING Bin, XIANG Mao-Sheng, WEI Li-Deng, SUN Xi-Rui. Real-time data acquisition system for baseline measurements of InSAR based on PCI and FPGA [J]. , 2013, 30(1): 53-59.
[9]	WANG Long-Fei, ZHANG Wen-Bo. Co-seismic tilt estimation based on baseline offset in accelerogram [J]. , 2012, (3): 359-366.
[10]	Hu Ji-Wei, HONG Jun. Systematic model and errors analysis for distributed satellites SAR system based on three-dimensional reconstruction model [J]. , 2011, 28(4): 489-497.
[11]	WANG Bin, WANG Yan-Ping, HONG Wen. 3D imaging algorithm for multi-baseline SAR based on QR decomposition [J]. , 2011, 28(1): 80-85.
[12]	GUO Zhi-Chuan, CHENG Yi-Min, WANG Yi-Xiao, XIE Yu-Ming. A Lossless Information Hiding Method Based on Video [J]. , 2006, 23(2): 165-173.
[13]	. A Survey of Digital Fingerprinting [J]. , 2004, 21(3): 289-298.

An electric field model for orientation field estimation in fingerprint images

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 13

Recommended Articles

Metrics

Comments