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Facial Expression Recognition Using Modified Local Binary Pattern

  • Suparna Biswas
  • Jaya Sil
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 32)

Abstract

In this paper a low computation feature space has been proposed to recognize expressions of face images. The image is divided into number of blocks and binary pattern corresponding to each block is generated by modifying the Local Binary Pattern (LBP). The proposed method generates compressed binary pattern of images and therefore, reduced in size. Features are extracted from transformed image using block wise histograms with variable number of bins. For classification we use two techniques, template matching and Support Vector Machine (SVM). Experiments on face images with different resolutions show that the proposed approach performs well for low resolution images. Considering Cohn-Kanade database, the proposed method is compared with LBP feature based methods demonstrating better performance.

Keywords

Facial expression Template matching Local binary pattern 

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Copyright information

© Springer India 2015

Authors and Affiliations

  1. 1.Department of Electronics and Communication EngineeringGurunanak Institute of TechnologyKolkataIndia
  2. 2.Department of Computer Science and TechnologyIndian Institute of Engineering Science and Technology UniversityHowrahIndia

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