Iris feature extraction method based on LBP and chunked encoding

Yuqing He; Guangqin Feng; Yushi Hou; Li Li; Evangelia Micheli-Tzanakou

doi:10.1109/ICNC.2011.6022302

Iris feature extraction method based on LBP and chunked encoding

Yuqing He^*, Guangqin Feng, Yushi Hou, Li Li, Evangelia Micheli-Tzanakou

^*Corresponding author for this work

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

14 Citations (Scopus)

Abstract

Iris feature extraction is a key issue in iris recognition. This paper proposes a novel iris feature extraction method based on local binary pattern (LBP) images and the chunked encoding method. Firstly it applies the LBP to the normalized iris image and obtains the iris' LBP image, then extracts the iris's feature via the chunked encoding method based on the iris' statistical information. Finally it completes the iris recognition and classification using Hamming distance. Experimental results showed that this algorithm can get higher recognition rate than the traditional iris feature extraction method, which demonstrated the efficiency of the proposed method.

Original language	English
Title of host publication	Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011
Pages	1663-1667
Number of pages	5
DOIs	https://doi.org/10.1109/ICNC.2011.6022302
Publication status	Published - 2011
Externally published	Yes
Event	2011 7th International Conference on Natural Computation, ICNC 2011 - Shanghai, China Duration: 26 Jul 2011 → 28 Jul 2011

Publication series

Name	Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011
Volume	3

Conference

Conference	2011 7th International Conference on Natural Computation, ICNC 2011
Country/Territory	China
City	Shanghai
Period	26/07/11 → 28/07/11

Keywords

biometrics
chunked encoding
hamming distance
iris recognition
local binary pattern

Access to Document

10.1109/ICNC.2011.6022302

Cite this

He, Y., Feng, G., Hou, Y., Li, L., & Micheli-Tzanakou, E. (2011). Iris feature extraction method based on LBP and chunked encoding. In Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011 (pp. 1663-1667). Article 6022302 (Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011; Vol. 3). https://doi.org/10.1109/ICNC.2011.6022302

@inproceedings{6981c4225cd84769a884f7580f37af6f,

title = "Iris feature extraction method based on LBP and chunked encoding",

abstract = "Iris feature extraction is a key issue in iris recognition. This paper proposes a novel iris feature extraction method based on local binary pattern (LBP) images and the chunked encoding method. Firstly it applies the LBP to the normalized iris image and obtains the iris' LBP image, then extracts the iris's feature via the chunked encoding method based on the iris' statistical information. Finally it completes the iris recognition and classification using Hamming distance. Experimental results showed that this algorithm can get higher recognition rate than the traditional iris feature extraction method, which demonstrated the efficiency of the proposed method.",

keywords = "biometrics, chunked encoding, hamming distance, iris recognition, local binary pattern",

author = "Yuqing He and Guangqin Feng and Yushi Hou and Li Li and Evangelia Micheli-Tzanakou",

year = "2011",

doi = "10.1109/ICNC.2011.6022302",

language = "English",

isbn = "9781424499533",

series = "Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011",

pages = "1663--1667",

booktitle = "Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011",

note = "2011 7th International Conference on Natural Computation, ICNC 2011 ; Conference date: 26-07-2011 Through 28-07-2011",

}

He, Y, Feng, G, Hou, Y, Li, L & Micheli-Tzanakou, E 2011, Iris feature extraction method based on LBP and chunked encoding. in Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011., 6022302, Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011, vol. 3, pp. 1663-1667, 2011 7th International Conference on Natural Computation, ICNC 2011, Shanghai, China, 26/07/11. https://doi.org/10.1109/ICNC.2011.6022302

Iris feature extraction method based on LBP and chunked encoding. / He, Yuqing; Feng, Guangqin; Hou, Yushi et al.
Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011. 2011. p. 1663-1667 6022302 (Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011; Vol. 3).

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

TY - GEN

T1 - Iris feature extraction method based on LBP and chunked encoding

AU - He, Yuqing

AU - Feng, Guangqin

AU - Hou, Yushi

AU - Li, Li

AU - Micheli-Tzanakou, Evangelia

PY - 2011

Y1 - 2011

N2 - Iris feature extraction is a key issue in iris recognition. This paper proposes a novel iris feature extraction method based on local binary pattern (LBP) images and the chunked encoding method. Firstly it applies the LBP to the normalized iris image and obtains the iris' LBP image, then extracts the iris's feature via the chunked encoding method based on the iris' statistical information. Finally it completes the iris recognition and classification using Hamming distance. Experimental results showed that this algorithm can get higher recognition rate than the traditional iris feature extraction method, which demonstrated the efficiency of the proposed method.

AB - Iris feature extraction is a key issue in iris recognition. This paper proposes a novel iris feature extraction method based on local binary pattern (LBP) images and the chunked encoding method. Firstly it applies the LBP to the normalized iris image and obtains the iris' LBP image, then extracts the iris's feature via the chunked encoding method based on the iris' statistical information. Finally it completes the iris recognition and classification using Hamming distance. Experimental results showed that this algorithm can get higher recognition rate than the traditional iris feature extraction method, which demonstrated the efficiency of the proposed method.

KW - biometrics

KW - chunked encoding

KW - hamming distance

KW - iris recognition

KW - local binary pattern

UR - http://www.scopus.com/inward/record.url?scp=80053428737&partnerID=8YFLogxK

U2 - 10.1109/ICNC.2011.6022302

DO - 10.1109/ICNC.2011.6022302

M3 - Conference contribution

AN - SCOPUS:80053428737

SN - 9781424499533

T3 - Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011

SP - 1663

EP - 1667

BT - Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011

T2 - 2011 7th International Conference on Natural Computation, ICNC 2011

Y2 - 26 July 2011 through 28 July 2011

ER -

Iris feature extraction method based on LBP and chunked encoding

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this