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MODIFIED LOCAL BINARY PATTERN (MLBP) FOR ROBUST FACE RECOGNITION
Conference proceeding

MODIFIED LOCAL BINARY PATTERN (MLBP) FOR ROBUST FACE RECOGNITION

Mohammad Moinul Islam, Vijayan K. Asari, Mohammed Nazrul Islam and Mohammad A. Karim
NCTA 2011: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON NEURAL COMPUTATION THEORY AND APPLICATIONS, pp.147-152
01/01/2011

Abstract

Computer Science Computer Science, Artificial Intelligence Computer Science, Information Systems Computer Science, Theory & Methods Science & Technology Technology
This paper presents an improvement of Local Binary Pattern (LBP) for robust face representation under varying lighting conditions. Original LBP operator compares pixels in a local neighbourhood with the centre pixel and converts the resultant binary string to 8-bit integer value. So, it is less effective under difficult lighting conditions where variation between pixels is negligible. Our proposed MLBP uses two stage encoding procedure which is more robust in detecting this variation in a local patch. The performance of the proposed method is compared with the baseline LBP under different illumination conditions.

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