• Title of article

    Novel Texture Description and Face Identification Methods by Defining Bridle Paths and Using Gabor Phases

  • Author/Authors

    Eliasi، Morteza نويسنده Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran Eliasi, Morteza , Manzuri، Mohammad Taghi نويسنده Department of Computer Engineering, Sharif University of Technology, Tehran, Iran Manzuri, Mohammad Taghi , Yaghoubi، Zohreh نويسنده Faculty of Engineering, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran Yaghoubi, Zohreh , Eliasi، Ardalan نويسنده Faculty of Engineering, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran Eliasi, Ardalan

  • Issue Information
    فصلنامه با شماره پیاپی 17 سال 2014
  • Pages
    19
  • From page
    35
  • To page
    53
  • Abstract
    Identification based on faces is still a useful method for many applications and face recognition developing is an active research Field. In this paper, a novel face identification method is proposed. The proposed method (Bridle Path on Gabor Phase (BPGP)) is based on extracting texture patterns from phases of the Gabor wavelet. Also, in order to describe the textures, a novel texture descriptor method (Bridle Path) is proposed to extract the features from textures. The Bridle Path method inspired by LBP method and brings some advantages such as lower feature vector length and higher texture description capability in comparison with LBP. Experimental results shows that, Bridle Path texture descriptor is a powerful tool for describing textures and consequently proposed face recognition method (BPGP) yields high identification performance compared to other methods
  • Journal title
    Journal of Advances in Computer Research
  • Serial Year
    2014
  • Journal title
    Journal of Advances in Computer Research
  • Record number

    1886006