Palmprint recognition using directional line energy feature

Xiangqian Wu; Kuanquan Wang; David Zhang

doi:10.1109/ICPR.2004.1333805

Palmprint recognition using directional line energy feature

Xiangqian Wu^*
, Kuanquan Wang
, David Zhang

^*Corresponding author for this work

School of Computer Science and Technology, Harbin Institute of Technology
Hong Kong Polytechnic University

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

22 Scopus citations

Abstract

Palm-lines, including the principal lines and wrinkles, can describe a palmprint clearly. This paper presents a novel approach of line feature extraction for palmprint recognition called the directional line energy feature (DLEF). The directional lines in different directions are first extracted using a set of directional line detectors. Then each directional line magnitude image is divided into several overlapped small grids and the magnitudes of the line points in these grids are used to compute the DLEF. A template-matching method based on Euclidean distance is adopted to measure the similarity of two DLEFs. Best results have been obtained when DLEFs with 6 different directions were employed. Accuracies of 97.92% and 97.5% are obtained by using the proposed approach in one-against-one matching and one-against-320 matching, respectively.

Original language	English
Title of host publication	Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	475-478
Number of pages	4
ISBN (Print)	0769521282
DOIs	https://doi.org/10.1109/ICPR.2004.1333805
State	Published - 2004
Externally published	Yes
Event	17th International Conference on Pattern Recognition, ICPR 2004 - Cambridge, United Kingdom Duration: 23 Aug 2004 → 26 Aug 2004

Publication series

Name	Proceedings - International Conference on Pattern Recognition
Volume	4
ISSN (Print)	1051-4651

Conference

Conference	17th International Conference on Pattern Recognition, ICPR 2004
Country/Territory	United Kingdom
City	Cambridge
Period	23/08/04 → 26/08/04

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10.1109/ICPR.2004.1333805

Cite this

Wu, X., Wang, K., & Zhang, D. (2004). Palmprint recognition using directional line energy feature. In Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 (pp. 475-478). (Proceedings - International Conference on Pattern Recognition; Vol. 4). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPR.2004.1333805

@inproceedings{5c8f0021447f4e74a064bb74c328e1c8,

title = "Palmprint recognition using directional line energy feature",

abstract = "Palm-lines, including the principal lines and wrinkles, can describe a palmprint clearly. This paper presents a novel approach of line feature extraction for palmprint recognition called the directional line energy feature (DLEF). The directional lines in different directions are first extracted using a set of directional line detectors. Then each directional line magnitude image is divided into several overlapped small grids and the magnitudes of the line points in these grids are used to compute the DLEF. A template-matching method based on Euclidean distance is adopted to measure the similarity of two DLEFs. Best results have been obtained when DLEFs with 6 different directions were employed. Accuracies of 97.92\% and 97.5\% are obtained by using the proposed approach in one-against-one matching and one-against-320 matching, respectively.",

author = "Xiangqian Wu and Kuanquan Wang and David Zhang",

year = "2004",

doi = "10.1109/ICPR.2004.1333805",

language = "英语",

isbn = "0769521282",

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

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

pages = "475--478",

booktitle = "Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004",

address = "美国",

note = "17th International Conference on Pattern Recognition, ICPR 2004 ; Conference date: 23-08-2004 Through 26-08-2004",

}

Wu, X , Wang, K & Zhang, D 2004, Palmprint recognition using directional line energy feature. in Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004. Proceedings - International Conference on Pattern Recognition, vol. 4, Institute of Electrical and Electronics Engineers Inc., pp. 475-478, 17th International Conference on Pattern Recognition, ICPR 2004, Cambridge, United Kingdom, 23/08/04. https://doi.org/10.1109/ICPR.2004.1333805

Palmprint recognition using directional line energy feature. / Wu, Xiangqian ; Wang, Kuanquan; Zhang, David.
Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004. Institute of Electrical and Electronics Engineers Inc., 2004. p. 475-478 (Proceedings - International Conference on Pattern Recognition; Vol. 4).

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

TY - GEN

T1 - Palmprint recognition using directional line energy feature

AU - Wu, Xiangqian

AU - Wang, Kuanquan

AU - Zhang, David

PY - 2004

Y1 - 2004

N2 - Palm-lines, including the principal lines and wrinkles, can describe a palmprint clearly. This paper presents a novel approach of line feature extraction for palmprint recognition called the directional line energy feature (DLEF). The directional lines in different directions are first extracted using a set of directional line detectors. Then each directional line magnitude image is divided into several overlapped small grids and the magnitudes of the line points in these grids are used to compute the DLEF. A template-matching method based on Euclidean distance is adopted to measure the similarity of two DLEFs. Best results have been obtained when DLEFs with 6 different directions were employed. Accuracies of 97.92% and 97.5% are obtained by using the proposed approach in one-against-one matching and one-against-320 matching, respectively.

AB - Palm-lines, including the principal lines and wrinkles, can describe a palmprint clearly. This paper presents a novel approach of line feature extraction for palmprint recognition called the directional line energy feature (DLEF). The directional lines in different directions are first extracted using a set of directional line detectors. Then each directional line magnitude image is divided into several overlapped small grids and the magnitudes of the line points in these grids are used to compute the DLEF. A template-matching method based on Euclidean distance is adopted to measure the similarity of two DLEFs. Best results have been obtained when DLEFs with 6 different directions were employed. Accuracies of 97.92% and 97.5% are obtained by using the proposed approach in one-against-one matching and one-against-320 matching, respectively.

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DO - 10.1109/ICPR.2004.1333805

M3 - 会议稿件

AN - SCOPUS:10044241434

SN - 0769521282

T3 - Proceedings - International Conference on Pattern Recognition

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BT - Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 17th International Conference on Pattern Recognition, ICPR 2004

Y2 - 23 August 2004 through 26 August 2004

ER -

Palmprint recognition using directional line energy feature

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