Biometrics personal identification based on iris pattern

Yun Hong Wang; Yong Zhu; Tie Niu Tan

Biometrics personal identification based on iris pattern

Yun Hong Wang^*
, Yong Zhu
, Tie Niu Tan

^*Corresponding author for this work

CAS - Institute of Automation

Research output: Contribution to journal › Article › peer-review

92 Scopus citations

Abstract

A personal identification system based on iris patterns is presented. It is composed of iris image acquisition, image preprocessing, feature extraction and matching. Iris feature extraction is based on texture analysis by using multichannel Gabor filtering and Daubechies-4 wavelet transform. Compared with existing methods, our method explores the rich 2-D information of the iris and is translation, rotation, and scale invariant.

Original language	English
Pages (from-to)	1-10
Number of pages	10
Journal	Zidonghua Xuebao/Acta Automatica Sinica
Volume	28
Issue number	1
State	Published - Jan 2002
Externally published	Yes

Keywords

Biometrics
Iris recognition
Personal identification

Cite this

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title = "Biometrics personal identification based on iris pattern",

abstract = "A personal identification system based on iris patterns is presented. It is composed of iris image acquisition, image preprocessing, feature extraction and matching. Iris feature extraction is based on texture analysis by using multichannel Gabor filtering and Daubechies-4 wavelet transform. Compared with existing methods, our method explores the rich 2-D information of the iris and is translation, rotation, and scale invariant.",

keywords = "Biometrics, Iris recognition, Personal identification",

author = "Wang, \{Yun Hong\} and Yong Zhu and Tan, \{Tie Niu\}",

year = "2002",

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language = "英语",

volume = "28",

pages = "1--10",

journal = "Zidonghua Xuebao/Acta Automatica Sinica",

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T1 - Biometrics personal identification based on iris pattern

AU - Wang, Yun Hong

AU - Zhu, Yong

AU - Tan, Tie Niu

PY - 2002/1

Y1 - 2002/1

N2 - A personal identification system based on iris patterns is presented. It is composed of iris image acquisition, image preprocessing, feature extraction and matching. Iris feature extraction is based on texture analysis by using multichannel Gabor filtering and Daubechies-4 wavelet transform. Compared with existing methods, our method explores the rich 2-D information of the iris and is translation, rotation, and scale invariant.

AB - A personal identification system based on iris patterns is presented. It is composed of iris image acquisition, image preprocessing, feature extraction and matching. Iris feature extraction is based on texture analysis by using multichannel Gabor filtering and Daubechies-4 wavelet transform. Compared with existing methods, our method explores the rich 2-D information of the iris and is translation, rotation, and scale invariant.

KW - Biometrics

KW - Iris recognition

KW - Personal identification

UR - https://www.scopus.com/pages/publications/0036042304

M3 - 文章

AN - SCOPUS:0036042304

SN - 0254-4156

VL - 28

SP - 1

EP - 10

JO - Zidonghua Xuebao/Acta Automatica Sinica

JF - Zidonghua Xuebao/Acta Automatica Sinica

IS - 1

ER -

Biometrics personal identification based on iris pattern

Abstract

Keywords

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