A new segmentation approach for iris recognition based on hand-held capture device

被引：25

作者：

He, Xiaofu ^{[1
]}

Shi, Pengfei ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Inst Image Proc & Pattern Recognit, Shanghai 200030, Peoples R China

来源：

PATTERN RECOGNITION | 2007年 / 40卷 / 04期

基金：

中国国家自然科学基金;

关键词：

iris recognition; iris segmentation; Hough transform; Canny detector;

D O I：

10.1016/j.patcog.2006.08.009

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Iris segmentation is an important step for automatic iris recognition. This paper presents a new iris segmentation method for hand-held capture device. We use a geometrical method for pupil detection. The bottom point of pupil is used as the reference point for pupil localization because it is insensitive to pupil dilation and not affected by the top eyelid or eyelashes. To decrease computational cost, the outer (or limbus) boundary of iris is localized based on shrunk image using Hough transform and modified Canny edge detector. The lower part of iris pattern is used for recognition in order to reduce the occlusion by eyelashes and eyelids. Experimental results demonstrate that the proposed method has an encouraging performance. (c) 2006 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.

引用

页码：1326 / 1333

页数：8

共 13 条

[1] A COMPUTATIONAL APPROACH TO EDGE-DETECTION [J].

CANNY, J .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1986, 8 (06) :679-698

[2] How iris recognition works [J].

Daugman, J .

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2004, 14 (01) :21-30

[3]

Daugman J, 2003, PATTERN RECOGN, V36, P279, DOI 10.1016/S0031-3203(02)00030-4

[4] HIGH CONFIDENCE VISUAL RECOGNITION OF PERSONS BY A TEST OF STATISTICAL INDEPENDENCE [J].

DAUGMAN, JG .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1993, 15 (11) :1148-1161

[5] SOME DEFECTS IN FINITE-DIFFERENCE EDGE FINDERS [J].

FLECK, MM .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1992, 14 (03) :337-345

[6] A new iris segmentation method for recognition [J].

Huang, JZ ;

Wang, YH ;

Tan, TN ;

Cui, JL .

PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 3, 2004, :554-557

[7] Detecting eyelash and reflection for accurate iris segmentation [J].

Kong, WK ;

Zhang, D .

INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2003, 17 (06) :1025-1034

[8]

KOVESI P, 1999, VIDERE J COMPUTER VI, V1

[9] Efficient iris recognition by characterizing key local variations [J].

Ma, L ;

Tan, TN ;

Wang, YH ;

Zhang, DX .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 2004, 13 (06) :739-750

[10] Personal identification based on iris texture analysis [J].

Ma, L ;

Tan, T ;

Wang, YH ;

Zhang, DX .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2003, 25 (12) :1519-1533

← 1 2 →