Face recognition using illumination-invariant local patches

Shafie, Amir Akramin and Hafiz, Fadhlan and Mohd Mustafah, Yasir (2014) Face recognition using illumination-invariant local patches. In: 2014 5th International Conference on Intelligent and Advanced Systems (ICIAS 2014), 3-5 June 2014, Kuala Lumpur Convention Center (KLCC), Kuala Lumpur.

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Abstract

Illumination variation that span globally and locally across the facial surface is one of the most important aspect in designing a robust face recognition system. The illumination variations due to changes in lighting conditions could produce different shape of shading on the face thus deforming the facial features. The effect of these variations is simply more severe in the presence of single-sample constraint since there would be many variables with very limited observations. Illumination variations have been modelled in literature as a series of undetermined multiplicative and additive noise, hence it is more convenient to eliminate or reduce the effect rather than computing them. In this paper, we present an illumination-invariant method where we use local features as basis for face classification which is obtained from partitioning histogram-equalized faces into smaller overlapping local patches (LPs). We can achieve illumination-invariance for these LPs by subtracting the vectors with local average illumination and then these vectors are logarithmically normalized to enhance the local contrast. The degree of invariance is controlled by a weight connected to the average intensity component. We have tested this method in single sample face recognition setting on AR Database and Extended YALE B Database. Recognition results show that the proposed method is suitable for robust face recognition since it achieve good performance in both even illumination and uneven illumination cases.

Item Type:	Conference or Workshop Item (Full Paper)
Additional Information:	5119/41699 (ISBN: 978-1-4799-4654-9, DOI: 10.1109/ICIAS.2014.6869544)
Uncontrolled Keywords:	face recognition
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Dr Yasir Mohd Mustafah
Date Deposited:	18 Feb 2015 17:15
Last Modified:	07 Sep 2017 11:08
URI:	http://irep.iium.edu.my/id/eprint/41699

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