Matlab Implementation of Face Recognition Using Local Binary Variance Pattern

Abstract

Face images can be seen as a composition of micro-patterns which can be well described by LBP (Local Binary Pattern). We exploited this observation on human face database for efficient representation in face recognition process. Here we divide face images into several blocks called facial regions from which we extract LBP and construct a global feature histogram that represents both the statistics of the facial micro-patterns and their spatial locations. Further, face recognition is performed on the basis of Euclidean distance. This face representation can be extracted in a single scan through the image, without any complex analysis. The algorithm performs well when all of the images are frontal.

Authors and Affiliations

N. S. Gawai, V. R. Pandit, A. A. Pachghare, R. G. Mundada

Keywords

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  • EP ID EP21202
  • DOI -
  • Views 202
  • Downloads 7

How To Cite

N. S. Gawai, V. R. Pandit, A. A. Pachghare, R. G. Mundada (2015). Matlab Implementation of Face Recognition Using Local Binary Variance Pattern. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 3(8), -. https://europub.co.uk/articles/-A-21202