Define a fingerprint Orientation Field pattern

Ning Zhang; Yali Zang; Xiaofei Jia; Xin Yang; Jie Tian

doi:10.1109/ICPR.2016.7899756

Define a fingerprint Orientation Field pattern

Ning Zhang
, Yali Zang
, Xiaofei Jia
, Xin Yang
, Jie Tian

CAS - Institute of Automation

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

2 Scopus citations

Abstract

Orientation Field (OF) is one of the most significant characters to distinguish fingerprint images from non-fingerprint images. An effective definition of fingerprint OF pattern will not only benefit fingerprint enhancement, but also contribute to latent fingerprint detection and segmentation. The existing fingerprint OF models either require pre-knowledge of singular points, or cannot be generalized to all kinds of fingerprint OFs. In this paper, we propose to define the fingerprint OF patterns based on low rank decomposition and sparse coding. Then we apply this proposed method to fingerprint OF recognition and detection. Experimental results prove the effectiveness of our method.

Original language	English
Title of host publication	2016 23rd International Conference on Pattern Recognition, ICPR 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	937-942
Number of pages	6
ISBN (Electronic)	9781509048472
DOIs	https://doi.org/10.1109/ICPR.2016.7899756
State	Published - 1 Jan 2016
Externally published	Yes
Event	23rd International Conference on Pattern Recognition, ICPR 2016 - Cancun, Mexico Duration: 4 Dec 2016 → 8 Dec 2016

Publication series

Name	Proceedings - International Conference on Pattern Recognition
Volume	0
ISSN (Print)	1051-4651

Conference

Conference	23rd International Conference on Pattern Recognition, ICPR 2016
Country/Territory	Mexico
City	Cancun
Period	4/12/16 → 8/12/16

Access to Document

10.1109/ICPR.2016.7899756

Cite this

@inproceedings{22efbe4e479043f7aed79925bbf8f5db,

title = "Define a fingerprint Orientation Field pattern",

abstract = "Orientation Field (OF) is one of the most significant characters to distinguish fingerprint images from non-fingerprint images. An effective definition of fingerprint OF pattern will not only benefit fingerprint enhancement, but also contribute to latent fingerprint detection and segmentation. The existing fingerprint OF models either require pre-knowledge of singular points, or cannot be generalized to all kinds of fingerprint OFs. In this paper, we propose to define the fingerprint OF patterns based on low rank decomposition and sparse coding. Then we apply this proposed method to fingerprint OF recognition and detection. Experimental results prove the effectiveness of our method.",

author = "Ning Zhang and Yali Zang and Xiaofei Jia and Xin Yang and Jie Tian",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 23rd International Conference on Pattern Recognition, ICPR 2016 ; Conference date: 04-12-2016 Through 08-12-2016",

year = "2016",

month = jan,

day = "1",

doi = "10.1109/ICPR.2016.7899756",

language = "英语",

series = "Proceedings - International Conference on Pattern Recognition",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "937--942",

booktitle = "2016 23rd International Conference on Pattern Recognition, ICPR 2016",

address = "美国",

}

Zhang, N, Zang, Y, Jia, X, Yang, X & Tian, J 2016, Define a fingerprint Orientation Field pattern. in 2016 23rd International Conference on Pattern Recognition, ICPR 2016. Proceedings - International Conference on Pattern Recognition, vol. 0, Institute of Electrical and Electronics Engineers Inc., pp. 937-942, 23rd International Conference on Pattern Recognition, ICPR 2016, Cancun, Mexico, 4/12/16. https://doi.org/10.1109/ICPR.2016.7899756

Define a fingerprint Orientation Field pattern. / Zhang, Ning; Zang, Yali; Jia, Xiaofei et al.
2016 23rd International Conference on Pattern Recognition, ICPR 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 937-942 (Proceedings - International Conference on Pattern Recognition; Vol. 0).

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

TY - GEN

T1 - Define a fingerprint Orientation Field pattern

AU - Zhang, Ning

AU - Zang, Yali

AU - Jia, Xiaofei

AU - Yang, Xin

AU - Tian, Jie

PY - 2016/1/1

Y1 - 2016/1/1

N2 - Orientation Field (OF) is one of the most significant characters to distinguish fingerprint images from non-fingerprint images. An effective definition of fingerprint OF pattern will not only benefit fingerprint enhancement, but also contribute to latent fingerprint detection and segmentation. The existing fingerprint OF models either require pre-knowledge of singular points, or cannot be generalized to all kinds of fingerprint OFs. In this paper, we propose to define the fingerprint OF patterns based on low rank decomposition and sparse coding. Then we apply this proposed method to fingerprint OF recognition and detection. Experimental results prove the effectiveness of our method.

AB - Orientation Field (OF) is one of the most significant characters to distinguish fingerprint images from non-fingerprint images. An effective definition of fingerprint OF pattern will not only benefit fingerprint enhancement, but also contribute to latent fingerprint detection and segmentation. The existing fingerprint OF models either require pre-knowledge of singular points, or cannot be generalized to all kinds of fingerprint OFs. In this paper, we propose to define the fingerprint OF patterns based on low rank decomposition and sparse coding. Then we apply this proposed method to fingerprint OF recognition and detection. Experimental results prove the effectiveness of our method.

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DO - 10.1109/ICPR.2016.7899756

M3 - 会议稿件

AN - SCOPUS:85019124881

T3 - Proceedings - International Conference on Pattern Recognition

SP - 937

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T2 - 23rd International Conference on Pattern Recognition, ICPR 2016

Y2 - 4 December 2016 through 8 December 2016

ER -

Define a fingerprint Orientation Field pattern

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