A novel method for sclera recognition with images captured on-the-move and at - A -distance

S. Alkassar; W. L. Woo; S. S. Dlay; J. A. Chambers

doi:10.1109/IWBF.2016.7449677

A novel method for sclera recognition with images captured on-the-move and at - A -distance

S. Alkassar, W. L. Woo, S. S. Dlay, J. A. Chambers

School of Computer Science

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

15 Citations (Scopus)

Abstract

Sclera blood vessels have been investigated recently as an efficient biometric trait. Capturing this part of the eye with a normal camera using visible-wavelength images rather than near-infrared images has provoked research interest. However, processing noisy sclera images captured at-a-distance and on-the-move has not been extensively investigated. Therefore in this paper, we propose a new method for minimizing the effect of distance on sclera recognition. This method involves sclera template rotation alignment and a distance scaling method to minimize the error rates when noisy eye images are captured at-a-distance and on-the-move. The experimental results using the on-the-move and at-a-distance UBIRIS.v2 database show a significant improvement in term of accuracy and error rates.

Original language	English
Title of host publication	Proceedings - 2016 4th International Workshop on Biometrics and Forensics, IWBF 2016
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	9781467394482, 9781467394475
DOIs	https://doi.org/10.1109/IWBF.2016.7449677
Publication status	Published - 11 Apr 2016
Event	4th International Workshop on Biometrics and Forensics, IWBF 2016 - Limassol, Cyprus Duration: 3 Mar 2016 → 4 Mar 2016

Conference

Conference	4th International Workshop on Biometrics and Forensics, IWBF 2016
Country/Territory	Cyprus
City	Limassol
Period	3/03/16 → 4/03/16

Keywords

Biometrics
Feature extraction
Gabor filters
Kernel
Linear discriminant analysis
Pattern recognition
Sclera recognition

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10.1109/IWBF.2016.7449677

Cite this

@inproceedings{14b063c263aa473a895d7edb6521ddd4,

title = "A novel method for sclera recognition with images captured on-the-move and at - A -distance",

abstract = "Sclera blood vessels have been investigated recently as an efficient biometric trait. Capturing this part of the eye with a normal camera using visible-wavelength images rather than near-infrared images has provoked research interest. However, processing noisy sclera images captured at-a-distance and on-the-move has not been extensively investigated. Therefore in this paper, we propose a new method for minimizing the effect of distance on sclera recognition. This method involves sclera template rotation alignment and a distance scaling method to minimize the error rates when noisy eye images are captured at-a-distance and on-the-move. The experimental results using the on-the-move and at-a-distance UBIRIS.v2 database show a significant improvement in term of accuracy and error rates.",

keywords = "Biometrics, Feature extraction, Gabor filters, Kernel, Linear discriminant analysis, Pattern recognition, Sclera recognition",

author = "S. Alkassar and Woo, \{W. L.\} and Dlay, \{S. S.\} and Chambers, \{J. A.\}",

year = "2016",

month = apr,

day = "11",

doi = "10.1109/IWBF.2016.7449677",

language = "English",

booktitle = "Proceedings - 2016 4th International Workshop on Biometrics and Forensics, IWBF 2016",

publisher = "IEEE",

address = "United States",

note = "4th International Workshop on Biometrics and Forensics, IWBF 2016 ; Conference date: 03-03-2016 Through 04-03-2016",

}

Alkassar, S, Woo, WL, Dlay, SS & Chambers, JA 2016, A novel method for sclera recognition with images captured on-the-move and at - A -distance. in Proceedings - 2016 4th International Workshop on Biometrics and Forensics, IWBF 2016., 7449677, IEEE, 4th International Workshop on Biometrics and Forensics, IWBF 2016, Limassol, Cyprus, 3/03/16. https://doi.org/10.1109/IWBF.2016.7449677

TY - GEN

T1 - A novel method for sclera recognition with images captured on-the-move and at - A -distance

AU - Alkassar, S.

AU - Woo, W. L.

AU - Dlay, S. S.

AU - Chambers, J. A.

PY - 2016/4/11

Y1 - 2016/4/11

N2 - Sclera blood vessels have been investigated recently as an efficient biometric trait. Capturing this part of the eye with a normal camera using visible-wavelength images rather than near-infrared images has provoked research interest. However, processing noisy sclera images captured at-a-distance and on-the-move has not been extensively investigated. Therefore in this paper, we propose a new method for minimizing the effect of distance on sclera recognition. This method involves sclera template rotation alignment and a distance scaling method to minimize the error rates when noisy eye images are captured at-a-distance and on-the-move. The experimental results using the on-the-move and at-a-distance UBIRIS.v2 database show a significant improvement in term of accuracy and error rates.

AB - Sclera blood vessels have been investigated recently as an efficient biometric trait. Capturing this part of the eye with a normal camera using visible-wavelength images rather than near-infrared images has provoked research interest. However, processing noisy sclera images captured at-a-distance and on-the-move has not been extensively investigated. Therefore in this paper, we propose a new method for minimizing the effect of distance on sclera recognition. This method involves sclera template rotation alignment and a distance scaling method to minimize the error rates when noisy eye images are captured at-a-distance and on-the-move. The experimental results using the on-the-move and at-a-distance UBIRIS.v2 database show a significant improvement in term of accuracy and error rates.

KW - Biometrics

KW - Feature extraction

KW - Gabor filters

KW - Kernel

KW - Linear discriminant analysis

KW - Pattern recognition

KW - Sclera recognition

UR - https://www.scopus.com/pages/publications/84965138073

U2 - 10.1109/IWBF.2016.7449677

DO - 10.1109/IWBF.2016.7449677

M3 - Conference contribution

AN - SCOPUS:84965138073

BT - Proceedings - 2016 4th International Workshop on Biometrics and Forensics, IWBF 2016

PB - IEEE

T2 - 4th International Workshop on Biometrics and Forensics, IWBF 2016

Y2 - 3 March 2016 through 4 March 2016

ER -

A novel method for sclera recognition with images captured on-the-move and at - A -distance

Abstract

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Keywords

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