A novel illumination normalization algorithm for face recognition

Bashier, Housam Khalifa and Lau, Siong Hoe and Pang, Ying Han and Liew, Yee Ping (2013) A novel illumination normalization algorithm for face recognition. In: 2013 IEEE International Conference on Signal and Irnage Processing Applications (ICSIPA). IEEE Xplore, pp. 402-405. ISBN 978-1-4799-0267-5

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Face recognitions systems suffer from the problem associated with illumination variation. Therefore, there's a need to address this problem. In this paper, we present a novel algorithm for illumination normalization call Local Trapezoid Feature LTF. The features are derived from the trapezoid rule and the experiments results on extended Yale face database demonstrated the effectiveness and the superiority of the algorithm. Furthermore, our algorithm doesn't require dimensionality reduction or feature extraction.

Item Type: Book Section
Uncontrolled Keywords: Local Trapezoid Feature, image processing, pattern recognition, Illumination variation, face recognition
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 09 Jul 2014 06:00
Last Modified: 05 Jan 2017 04:52
URI: http://shdl.mmu.edu.my/id/eprint/5607

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