• DocumentCode
    1661202
  • Title

    Face recognition based on the combination of histogram features and rough location information of facial parts

  • Author

    Lee, Feifei ; Kotani, Koji ; Chen, Qiu ; Ohmi, Tadahiro

  • Author_Institution
    New Ind. Creation Hatchery Center, Tohoku Univ., Tohoku
  • fYear
    2008
  • Firstpage
    2065
  • Lastpage
    2069
  • Abstract
    In this paper, an improved face recognition algorithm based on adjacent pixel intensity difference quantization (APIDQ) histogram method is proposed. By utilizing the rough location information of the facial parts, the facial area is divided into 5 individual parts, and then APIDQ is applied on each facial component. Recognition results are firstly obtained from different parts separately and then combined by weighted averaging. The experimental result shows that top 1 recognition rate of 97.6% is achieved when evaluated by FB task of the FERET database.
  • Keywords
    face recognition; adjacent pixel intensity difference quantization histogram; face recognition algorithm; facial area; facial component; facial parts; histogram features; recognition rate; rough location information; Face recognition; Filtering; Histograms; Humans; Image databases; Image recognition; Low pass filters; Mouth; Pixel; Quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2008. ICSP 2008. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2178-7
  • Electronic_ISBN
    978-1-4244-2179-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2008.4697551
  • Filename
    4697551
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1661202