Comparative analysis of fingerprint orientation field algorithms

Dahai Chen; Xiang Ji; Feng Fan; Jun Zhang; Lei Guo; Weihua Meng

doi:10.1109/ICIG.2009.95

Comparative analysis of fingerprint orientation field algorithms

Dahai Chen, Xiang Ji, Feng Fan, Jun Zhang, Lei Guo, Weihua Meng

School of Automation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

Abstract

Fingerprint images are textural images consisting of ridges and valleys. The orientation of textures can be determined by orientation field computation. Fingerprint orientation field is the critical basis for fingerprint image segmentation, filtering enhancement and matching processes, and the fingerprint orientation field algorithm plays a very important role in the applied Automated Fingerprint Identification Systems (AFIS). The available fingerprint orientation field algorithms include mainly the mask algorithm and the gradient algorithm. They are used in spatial and frequency domains, respectively, and both can offer satisfactory fingerprint orientation matrixes. Based on an experimental comparison of their effectiveness in fingerprint preprocessing, this paper analyzes in detail the performance of these two algorithms.

Original language	English
Title of host publication	Proceedings of the 5th International Conference on Image and Graphics, ICIG 2009
Publisher	IEEE Computer Society
Pages	796-801
Number of pages	6
ISBN (Print)	9780769538839
DOIs	https://doi.org/10.1109/ICIG.2009.95
State	Published - 2009
Event	5th International Conference on Image and Graphics, ICIG 2009 - Xi'an, Shanxi, China Duration: 20 Sep 2009 → 23 Sep 2009

Publication series

Name	Proceedings of the 5th International Conference on Image and Graphics, ICIG 2009

Conference

Conference	5th International Conference on Image and Graphics, ICIG 2009
Country/Territory	China
City	Xi'an, Shanxi
Period	20/09/09 → 23/09/09

Access to Document

10.1109/ICIG.2009.95

Cite this

Chen, D., Ji, X., Fan, F., Zhang, J., Guo, L., & Meng, W. (2009). Comparative analysis of fingerprint orientation field algorithms. In Proceedings of the 5th International Conference on Image and Graphics, ICIG 2009 (pp. 796-801). Article 5437904 (Proceedings of the 5th International Conference on Image and Graphics, ICIG 2009). IEEE Computer Society. https://doi.org/10.1109/ICIG.2009.95

@inproceedings{6c7ccc0767144ce9ba8af6b5e65cd61f,

title = "Comparative analysis of fingerprint orientation field algorithms",

abstract = "Fingerprint images are textural images consisting of ridges and valleys. The orientation of textures can be determined by orientation field computation. Fingerprint orientation field is the critical basis for fingerprint image segmentation, filtering enhancement and matching processes, and the fingerprint orientation field algorithm plays a very important role in the applied Automated Fingerprint Identification Systems (AFIS). The available fingerprint orientation field algorithms include mainly the mask algorithm and the gradient algorithm. They are used in spatial and frequency domains, respectively, and both can offer satisfactory fingerprint orientation matrixes. Based on an experimental comparison of their effectiveness in fingerprint preprocessing, this paper analyzes in detail the performance of these two algorithms.",

author = "Dahai Chen and Xiang Ji and Feng Fan and Jun Zhang and Lei Guo and Weihua Meng",

year = "2009",

doi = "10.1109/ICIG.2009.95",

language = "英语",

isbn = "9780769538839",

series = "Proceedings of the 5th International Conference on Image and Graphics, ICIG 2009",

publisher = "IEEE Computer Society",

pages = "796--801",

booktitle = "Proceedings of the 5th International Conference on Image and Graphics, ICIG 2009",

note = "5th International Conference on Image and Graphics, ICIG 2009 ; Conference date: 20-09-2009 Through 23-09-2009",

}

Chen, D, Ji, X, Fan, F, Zhang, J, Guo, L & Meng, W 2009, Comparative analysis of fingerprint orientation field algorithms. in Proceedings of the 5th International Conference on Image and Graphics, ICIG 2009., 5437904, Proceedings of the 5th International Conference on Image and Graphics, ICIG 2009, IEEE Computer Society, pp. 796-801, 5th International Conference on Image and Graphics, ICIG 2009, Xi'an, Shanxi, China, 20/09/09. https://doi.org/10.1109/ICIG.2009.95

Comparative analysis of fingerprint orientation field algorithms. / Chen, Dahai; Ji, Xiang; Fan, Feng et al.
Proceedings of the 5th International Conference on Image and Graphics, ICIG 2009. IEEE Computer Society, 2009. p. 796-801 5437904 (Proceedings of the 5th International Conference on Image and Graphics, ICIG 2009).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Comparative analysis of fingerprint orientation field algorithms

AU - Chen, Dahai

AU - Ji, Xiang

AU - Fan, Feng

AU - Zhang, Jun

AU - Guo, Lei

AU - Meng, Weihua

PY - 2009

Y1 - 2009

N2 - Fingerprint images are textural images consisting of ridges and valleys. The orientation of textures can be determined by orientation field computation. Fingerprint orientation field is the critical basis for fingerprint image segmentation, filtering enhancement and matching processes, and the fingerprint orientation field algorithm plays a very important role in the applied Automated Fingerprint Identification Systems (AFIS). The available fingerprint orientation field algorithms include mainly the mask algorithm and the gradient algorithm. They are used in spatial and frequency domains, respectively, and both can offer satisfactory fingerprint orientation matrixes. Based on an experimental comparison of their effectiveness in fingerprint preprocessing, this paper analyzes in detail the performance of these two algorithms.

AB - Fingerprint images are textural images consisting of ridges and valleys. The orientation of textures can be determined by orientation field computation. Fingerprint orientation field is the critical basis for fingerprint image segmentation, filtering enhancement and matching processes, and the fingerprint orientation field algorithm plays a very important role in the applied Automated Fingerprint Identification Systems (AFIS). The available fingerprint orientation field algorithms include mainly the mask algorithm and the gradient algorithm. They are used in spatial and frequency domains, respectively, and both can offer satisfactory fingerprint orientation matrixes. Based on an experimental comparison of their effectiveness in fingerprint preprocessing, this paper analyzes in detail the performance of these two algorithms.

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U2 - 10.1109/ICIG.2009.95

DO - 10.1109/ICIG.2009.95

M3 - 会议稿件

AN - SCOPUS:77952257480

SN - 9780769538839

T3 - Proceedings of the 5th International Conference on Image and Graphics, ICIG 2009

SP - 796

EP - 801

BT - Proceedings of the 5th International Conference on Image and Graphics, ICIG 2009

PB - IEEE Computer Society

T2 - 5th International Conference on Image and Graphics, ICIG 2009

Y2 - 20 September 2009 through 23 September 2009

ER -

Comparative analysis of fingerprint orientation field algorithms

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