Wavelet-Local binary pattern based face recognition

  • Azad Abdullah Ameen Charmo University, College of Basic Education, Computer Department
  • Hardi M. M-Saleh Charmo University, College of Basic Education, Computer Department
  • Zrar Kh. Abdul Charmo University, College of Basic Education, Computer Department
Keywords: Face recognition, Local Binary Pattern, wavelet transform, support vector machine, K nearest number

Abstract

Over the last twenty years face recognition has made immense progress based on statistical learning or subspace discriminant analysis. This paper investigates a technique to reduce features necessary for face recognition based on local binary pattern, which is constructed by applying wavelet transform into local binary pattern. The approach is evaluated in two ways: wavelet transform applied to the LBP features and wavelet transform applied twice on the original image and LBP features. The resultant data are compared to the results obtained without applying wavelet transform, revealing that the reduction base one wavelet achieves the same or sometimes improved accuracy. The proposed algorithm is experimented on the Cambridge ORL Face database.

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Published
2017-02-28
How to Cite
Ameen, A. A., M-Saleh, H. M., & Abdul, Z. K. (2017). Wavelet-Local binary pattern based face recognition. INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 16(1), 7552-7556. https://doi.org/10.24297/ijct.v16i1.5779
Section
Articles