Analysis on texture and colour based features of periocular for low resolution colour iris images

The low resolution iris images in non-cooperative environment has resultant in failure to determine the eye center, limbic and pupillary boundary of the iris segmentation. Hence, a combination with periocular area is suggested to improve the accuracy of the recognition system. However, the existing...

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Main Authors:	Anis Farihan, Mat Raffei, Hishammuddin, Asmuni, Rohayanti, Hassan, Razib, M. Othman
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2018
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/24442/ http://umpir.ump.edu.my/id/eprint/24442/ http://umpir.ump.edu.my/id/eprint/24442/1/104.%20Analysis%20on%20texture%20and%20colour%20based%20features.pdf

id	ump-24442
recordtype	eprints
spelling	ump-244422019-11-12T02:16:12Z http://umpir.ump.edu.my/id/eprint/24442/ Analysis on texture and colour based features of periocular for low resolution colour iris images Anis Farihan, Mat Raffei Hishammuddin, Asmuni Rohayanti, Hassan Razib, M. Othman QA76 Computer software The low resolution iris images in non-cooperative environment has resultant in failure to determine the eye center, limbic and pupillary boundary of the iris segmentation. Hence, a combination with periocular area is suggested to improve the accuracy of the recognition system. However, the existing periocular features extraction methods to extract the texture features can be easily affected by a background complication and depends on image size and orientation. Although some of the existing studies have combined the texture and colour features to increase the accuracy of periocular recognition, still, the method of colour feature extraction is limited to spatial information and quantization effects. This paper presents the analysis of texture and colour based features of periocular for low resolution colour iris images. Two datasets: UBIRIS.v2 and UBIPr are used and the proposed method provides robust discriminative structure features and sufficient spatial information which has increased the discriminating power. IEEE 2018-10 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24442/1/104.%20Analysis%20on%20texture%20and%20colour%20based%20features.pdf Anis Farihan, Mat Raffei and Hishammuddin, Asmuni and Rohayanti, Hassan and Razib, M. Othman (2018) Analysis on texture and colour based features of periocular for low resolution colour iris images. In: 2018 IEEE Conference on Systems, Process and Control (ICSPC), 14-15 December 2018 , Melaka, Malaysia. pp. 193-197.. ISBN 978-1-5386-6327-1 https://doi.org/10.1109/SPC.2018.8704149
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Anis Farihan, Mat Raffei Hishammuddin, Asmuni Rohayanti, Hassan Razib, M. Othman Analysis on texture and colour based features of periocular for low resolution colour iris images
description	The low resolution iris images in non-cooperative environment has resultant in failure to determine the eye center, limbic and pupillary boundary of the iris segmentation. Hence, a combination with periocular area is suggested to improve the accuracy of the recognition system. However, the existing periocular features extraction methods to extract the texture features can be easily affected by a background complication and depends on image size and orientation. Although some of the existing studies have combined the texture and colour features to increase the accuracy of periocular recognition, still, the method of colour feature extraction is limited to spatial information and quantization effects. This paper presents the analysis of texture and colour based features of periocular for low resolution colour iris images. Two datasets: UBIRIS.v2 and UBIPr are used and the proposed method provides robust discriminative structure features and sufficient spatial information which has increased the discriminating power.
format	Conference or Workshop Item
author	Anis Farihan, Mat Raffei Hishammuddin, Asmuni Rohayanti, Hassan Razib, M. Othman
author_facet	Anis Farihan, Mat Raffei Hishammuddin, Asmuni Rohayanti, Hassan Razib, M. Othman
author_sort	Anis Farihan, Mat Raffei
title	Analysis on texture and colour based features of periocular for low resolution colour iris images
title_short	Analysis on texture and colour based features of periocular for low resolution colour iris images
title_full	Analysis on texture and colour based features of periocular for low resolution colour iris images
title_fullStr	Analysis on texture and colour based features of periocular for low resolution colour iris images
title_full_unstemmed	Analysis on texture and colour based features of periocular for low resolution colour iris images
title_sort	analysis on texture and colour based features of periocular for low resolution colour iris images
publisher	IEEE
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/24442/ http://umpir.ump.edu.my/id/eprint/24442/ http://umpir.ump.edu.my/id/eprint/24442/1/104.%20Analysis%20on%20texture%20and%20colour%20based%20features.pdf
first_indexed	2023-09-18T22:37:00Z
last_indexed	2023-09-18T22:37:00Z
_version_	1777416661995880448

Analysis on texture and colour based features of periocular for low resolution colour iris images

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