Face Recognition Using Local Binary Pattern-Blockwise Method

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 695)

Abstract

Face recognition is the most challenging facets of image processing. Human brain uses the same process to recognize a face. Brain extracts essential features from the face and stores in his database. Next time, brain tries to recognize the same face by extracting the features and compares it with already stored features. After comparing both faces, human brain signifies the result. But for a computer system, this process is very complex because of the image variations in terms of location, size, expression and pose. In this paper, we have used a novel LBP-blockwise face recognition algorithm based on the features of local binary pattern and uniform local binary pattern. We have validated the proposed method on a set of classifiers computed on a benchmarked ORL image database. It has been observed that the recognition rate of the novel LBP-blockwise method is better than the existing LBP method.

Keywords

Face recognition Digital image processing Local binary pattern [LBP] Uniform local binary pattern [ULBP] 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.SBS State Technical CampusFerozepurIndia

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