• DocumentCode
    116958
  • Title

    Evaluation of Local Tetra Pattern features for face recognition

  • Author

    Walia, Ekta ; Rajput, Neeraj Kumar

  • Author_Institution
    Dept. of Comput. Sci., South Asian Univ., New Delhi, India
  • fYear
    2014
  • fDate
    3-5 Jan. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents an evaluation of two dense descriptors that have been or can be used in face recognition. Local Binary Pattern (LBP) is an established descriptor with many researchers focusing on its utility in Face Recognition. Local Tetra Patterns (LTrP) have been recently introduced and this paper explores the possibility of its utility in Face Recognition. A comparative analysis on the use of both these descriptors in face recognition has been carried out. Results have been presented on well-known ORL, Yale and FERET databases. It is worth stating that in the present experimental setup, LTrP is able to improve the recognition rate only marginally when compared to LBP.
  • Keywords
    face recognition; FERET database; LBP; LTrP; ORL database; Yale database; dense descriptors; face recognition; local binary pattern; local tetra pattern feature evaluation; Computers; Databases; Euclidean distance; Face; Face recognition; Feature extraction; Histograms; Local Binary Pattern; Local Tetra Pattern; Recognition Rate;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communication and Informatics (ICCCI), 2014 International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4799-2353-3
  • Type

    conf

  • DOI
    10.1109/ICCCI.2014.6921766
  • Filename
    6921766