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Intelligent Engineering Informatics pp 111–118Cite as

Face Recognition Using Local Binary Pattern-Blockwise Method

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Part of the book series: Advances in Intelligent Systems and Computing ((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.

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Author information

Authors and Affiliations

  1. SBS State Technical Campus, Ferozepur, Punjab, India

    Nikhil Kumar & Sunny Behal

Authors
  1. Nikhil Kumar
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  2. Sunny Behal
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Corresponding author

Correspondence to Sunny Behal .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, SRMGPC, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  2. Departamento de Computación, CINVESTAV-IPN, Mexico City, Mexico

    Carlos A. Coello Coello

  3. Department of Computer Science and Engineering, PVP Siddhartha Institute of Technology, Vijayawada, Andhra Pradesh, India

    Suresh Chandra Satapathy

  4. School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India

    Prasant Kumar Pattnaik

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Kumar, N., Behal, S. (2018). Face Recognition Using Local Binary Pattern-Blockwise Method. In: Bhateja, V., Coello Coello, C., Satapathy, S., Pattnaik, P. (eds) Intelligent Engineering Informatics. Advances in Intelligent Systems and Computing, vol 695. Springer, Singapore. https://doi.org/10.1007/978-981-10-7566-7_12

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  • DOI: https://doi.org/10.1007/978-981-10-7566-7_12

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7565-0

  • Online ISBN: 978-981-10-7566-7

  • eBook Packages: EngineeringEngineering (R0)

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