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

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

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Abstract

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.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Iris recognition; periocular recognition; low resolution; local binary pattern; color moment
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 16 Oct 2019 02:42
Last Modified: 12 Nov 2019 02:16
URI: http://umpir.ump.edu.my/id/eprint/24442
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