Fusion iris and periocular recognitions in non-cooperative environment

The performance of iris recognition in non-cooperative environment can be negatively impacted when the resolution of the iris images is low which results in failure to determine the eye center, limbic and pupillary boundary of the iris segmentation. Hence, a combination with periocular features is s...

Full description

Bibliographic Details
Main Authors:	Anis Farihan, Mat Raffei, Sutikno, Tole, Asmuni, Hishammuddin, Hassan, Rohayanti, Razib, M. Othman, Shahreen, Kasim, A Riyadi, Munawar
Format:	Article
Language:	English
Published:	Institute of Advanced Engineering and Science 2019
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software T Technology (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/26456/ http://umpir.ump.edu.my/id/eprint/26456/ http://umpir.ump.edu.my/id/eprint/26456/2/1147-3809-1-PB.pdf

id	ump-26456
recordtype	eprints
spelling	ump-264562019-12-09T04:21:24Z http://umpir.ump.edu.my/id/eprint/26456/ Fusion iris and periocular recognitions in non-cooperative environment Anis Farihan, Mat Raffei Sutikno, Tole Asmuni, Hishammuddin Hassan, Rohayanti Razib, M. Othman Shahreen, Kasim A Riyadi, Munawar QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) The performance of iris recognition in non-cooperative environment can be negatively impacted when the resolution of the iris images is low which results in failure to determine the eye center, limbic and pupillary boundary of the iris segmentation. Hence, a combination with periocular features is suggested to increase the authenticity of the recognition system. However, the texture feature of periocular can be easily affected by a background complication while the colour feature of periocular is still limited to spatial information and quantization effects. This happens due to different distances between the sensor and the subject during the iris acquisition stage as well as image size and orientation. The proposed method of periocular feature extraction consists of a combination of rotation invariant uniform local binary pattern to select the texture features and a method of color moment to select the color features. Besides, a hue-saturation-value channel is selected to avoid loss of discriminative information in the eye image. The proposed method which consists of combination between texture and colour features provides the highest accuracy for the periocular recognition with more than 71.5% for the UBIRIS.v2 dataset and 85.7% for the UBIPr dataset. For the fusion recognitions, the proposed method achieved the highest accuracy with more than 85.9% for the UBIRIS.v2 dataset and 89.7% for the UBIPr dataset. Institute of Advanced Engineering and Science 2019-09 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26456/2/1147-3809-1-PB.pdf Anis Farihan, Mat Raffei and Sutikno, Tole and Asmuni, Hishammuddin and Hassan, Rohayanti and Razib, M. Othman and Shahreen, Kasim and A Riyadi, Munawar (2019) Fusion iris and periocular recognitions in non-cooperative environment. Indonesian Journal of Electrical Engineering and Informatics, 7 (3). pp. 543-554. ISSN 2089-3272 http://section.iaesonline.com/index.php/IJEEI/article/view/1147/452
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science QA76 Computer software T Technology (General)
spellingShingle	QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) Anis Farihan, Mat Raffei Sutikno, Tole Asmuni, Hishammuddin Hassan, Rohayanti Razib, M. Othman Shahreen, Kasim A Riyadi, Munawar Fusion iris and periocular recognitions in non-cooperative environment
description	The performance of iris recognition in non-cooperative environment can be negatively impacted when the resolution of the iris images is low which results in failure to determine the eye center, limbic and pupillary boundary of the iris segmentation. Hence, a combination with periocular features is suggested to increase the authenticity of the recognition system. However, the texture feature of periocular can be easily affected by a background complication while the colour feature of periocular is still limited to spatial information and quantization effects. This happens due to different distances between the sensor and the subject during the iris acquisition stage as well as image size and orientation. The proposed method of periocular feature extraction consists of a combination of rotation invariant uniform local binary pattern to select the texture features and a method of color moment to select the color features. Besides, a hue-saturation-value channel is selected to avoid loss of discriminative information in the eye image. The proposed method which consists of combination between texture and colour features provides the highest accuracy for the periocular recognition with more than 71.5% for the UBIRIS.v2 dataset and 85.7% for the UBIPr dataset. For the fusion recognitions, the proposed method achieved the highest accuracy with more than 85.9% for the UBIRIS.v2 dataset and 89.7% for the UBIPr dataset.
format	Article
author	Anis Farihan, Mat Raffei Sutikno, Tole Asmuni, Hishammuddin Hassan, Rohayanti Razib, M. Othman Shahreen, Kasim A Riyadi, Munawar
author_facet	Anis Farihan, Mat Raffei Sutikno, Tole Asmuni, Hishammuddin Hassan, Rohayanti Razib, M. Othman Shahreen, Kasim A Riyadi, Munawar
author_sort	Anis Farihan, Mat Raffei
title	Fusion iris and periocular recognitions in non-cooperative environment
title_short	Fusion iris and periocular recognitions in non-cooperative environment
title_full	Fusion iris and periocular recognitions in non-cooperative environment
title_fullStr	Fusion iris and periocular recognitions in non-cooperative environment
title_full_unstemmed	Fusion iris and periocular recognitions in non-cooperative environment
title_sort	fusion iris and periocular recognitions in non-cooperative environment
publisher	Institute of Advanced Engineering and Science
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/26456/ http://umpir.ump.edu.my/id/eprint/26456/ http://umpir.ump.edu.my/id/eprint/26456/2/1147-3809-1-PB.pdf
first_indexed	2023-09-18T22:41:13Z
last_indexed	2023-09-18T22:41:13Z
_version_	1777416927734398976

Fusion iris and periocular recognitions in non-cooperative environment

Similar Items