Robust iris recognition with region division

Jonggeun Park, Chulhee Lee

Research output: Contribution to journalConference article

2 Citations (Scopus)

Abstract

In this paper, we propose an efficient and fast feature extraction method for iris recognition using the wavelet transform. A major problem of iris recognition is that noises such as the eyelid, eyebrow and glint may be included in iris images, and such noises adversely affect the performance of iris recognition systems. In order to solve these problems, we propose to divide the iris texture image into several sub-regions and apply the wavelet transform separately to each sub-region. Furthermore, we discard some sub-regions which have large differences to exclude potential noises. Experimental results show that the performance of the proposed method is comparable to that of the method using the Gabor transform and that region division noticeably improves recognition performance. It is further noted that the processing time of the proposed method is much faster than the Gabor transform.

Original languageEnglish
Article number17
Pages (from-to)161-168
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5672
DOIs
Publication statusPublished - 2005 Jul 20

Fingerprint

Iris Recognition
Wavelet transforms
division
Division
Gabor Transform
Iris
wavelet analysis
Wavelet Transform
Feature extraction
Textures
glint
Processing
pattern recognition
Feature Extraction
Divides
Texture
textures
Experimental Results

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

@article{c934fa8a5b884b7885cc760a9860eeff,
title = "Robust iris recognition with region division",
abstract = "In this paper, we propose an efficient and fast feature extraction method for iris recognition using the wavelet transform. A major problem of iris recognition is that noises such as the eyelid, eyebrow and glint may be included in iris images, and such noises adversely affect the performance of iris recognition systems. In order to solve these problems, we propose to divide the iris texture image into several sub-regions and apply the wavelet transform separately to each sub-region. Furthermore, we discard some sub-regions which have large differences to exclude potential noises. Experimental results show that the performance of the proposed method is comparable to that of the method using the Gabor transform and that region division noticeably improves recognition performance. It is further noted that the processing time of the proposed method is much faster than the Gabor transform.",
author = "Jonggeun Park and Chulhee Lee",
year = "2005",
month = "7",
day = "20",
doi = "10.1117/12.588038",
language = "English",
volume = "5672",
pages = "161--168",
journal = "Proceedings of SPIE - The International Society for Optical Engineering",
issn = "0277-786X",
publisher = "SPIE",

}

Robust iris recognition with region division. / Park, Jonggeun; Lee, Chulhee.

In: Proceedings of SPIE - The International Society for Optical Engineering, Vol. 5672, 17, 20.07.2005, p. 161-168.

Research output: Contribution to journalConference article

TY - JOUR

T1 - Robust iris recognition with region division

AU - Park, Jonggeun

AU - Lee, Chulhee

PY - 2005/7/20

Y1 - 2005/7/20

N2 - In this paper, we propose an efficient and fast feature extraction method for iris recognition using the wavelet transform. A major problem of iris recognition is that noises such as the eyelid, eyebrow and glint may be included in iris images, and such noises adversely affect the performance of iris recognition systems. In order to solve these problems, we propose to divide the iris texture image into several sub-regions and apply the wavelet transform separately to each sub-region. Furthermore, we discard some sub-regions which have large differences to exclude potential noises. Experimental results show that the performance of the proposed method is comparable to that of the method using the Gabor transform and that region division noticeably improves recognition performance. It is further noted that the processing time of the proposed method is much faster than the Gabor transform.

AB - In this paper, we propose an efficient and fast feature extraction method for iris recognition using the wavelet transform. A major problem of iris recognition is that noises such as the eyelid, eyebrow and glint may be included in iris images, and such noises adversely affect the performance of iris recognition systems. In order to solve these problems, we propose to divide the iris texture image into several sub-regions and apply the wavelet transform separately to each sub-region. Furthermore, we discard some sub-regions which have large differences to exclude potential noises. Experimental results show that the performance of the proposed method is comparable to that of the method using the Gabor transform and that region division noticeably improves recognition performance. It is further noted that the processing time of the proposed method is much faster than the Gabor transform.

UR - http://www.scopus.com/inward/record.url?scp=21944434989&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=21944434989&partnerID=8YFLogxK

U2 - 10.1117/12.588038

DO - 10.1117/12.588038

M3 - Conference article

AN - SCOPUS:21944434989

VL - 5672

SP - 161

EP - 168

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

SN - 0277-786X

M1 - 17

ER -