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

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

2 引用（Scopus）

摘要

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.

源语言	英语
主期刊名	2016 23rd International Conference on Pattern Recognition, ICPR 2016
出版商	Institute of Electrical and Electronics Engineers Inc.
页	937-942
页数	6
ISBN（电子版）	9781509048472
DOI	https://doi.org/10.1109/ICPR.2016.7899756
出版状态	已出版 - 1 1月 2016
已对外发布	是
活动	23rd International Conference on Pattern Recognition, ICPR 2016 - Cancun, 墨西哥期限: 4 12月 2016 → 8 12月 2016

出版系列

姓名	Proceedings - International Conference on Pattern Recognition
卷	0
ISSN（印刷版）	1051-4651

会议

会议	23rd International Conference on Pattern Recognition, ICPR 2016
国家/地区	墨西哥
市	Cancun
时期	4/12/16 → 8/12/16

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10.1109/ICPR.2016.7899756

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引用此

@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. 在 2016 23rd International Conference on Pattern Recognition, ICPR 2016. Proceedings - International Conference on Pattern Recognition, 卷 0, Institute of Electrical and Electronics Engineers Inc., 页码 937-942, 23rd International Conference on Pattern Recognition, ICPR 2016, Cancun, 墨西哥, 4/12/16. https://doi.org/10.1109/ICPR.2016.7899756

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

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

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.

UR - https://www.scopus.com/pages/publications/85019124881

U2 - 10.1109/ICPR.2016.7899756

DO - 10.1109/ICPR.2016.7899756

M3 - 会议稿件

AN - SCOPUS:85019124881

T3 - Proceedings - International Conference on Pattern Recognition

SP - 937

EP - 942

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

PB - Institute of Electrical and Electronics Engineers Inc.

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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