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Local Binary Patterns For Gender Classification

Local Binary Patterns For Gender Classification

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 Local Binary Patterns For Gender Classification

Gender classification using facial features has attracted researchers attention recently. Gender classification using texture features of faces exhibited promising improve-ment over other facial features. Gender classification finds applications in systems which use gender as one of the parameters. Local Binary Patterns (LBP) are known to have good texture representation properties. Through this paper we present a variant of Local Binary Patterns for gender classification which can discriminate the facial textures effi-ciently. In this method, we used a new neighborhood shape for obtaining LBP as its representation of texture is superior than traditional LBP. We compute the proposed LBP on each non-overlapping blocks of a face image and a histogram of these LBPs is computed. We used these histograms as facial feature vectors for gender classification as these histograms shown their robustness to compression and uniform intensity variations.


 


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  • Model: PROJ7772
  • 999 Units in Stock
  • Manufactured by: ClickMyProjects

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This product was added to our catalog on Monday 14 August, 2017.

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