• DocumentCode
    1627050
  • Title

    Elimination of alignment stage in feature extraction for a Slepian-Wolf fingerprint biometric system

  • Author

    Marouzi, S. ; Hodtani, Ghosheh Abed

  • Author_Institution
    Dept. of Electr. Eng, Sadjad Inst. of Higher Educ., Mashhad, Iran
  • fYear
    2012
  • Firstpage
    1119
  • Lastpage
    1122
  • Abstract
    In this paper, a simple method for extracting fingerprint features is presented. Feature extraction is carried out with regard to system requirement, in order to safely save the biometrics. In the feature extraction stage of previous methods, fingerprint images should always be aligned in the beginning. In our method the features are extracted in such a way that rotation and translation have no effect on the data obtained, and hence we don´t need the alignment stage, which leads to easier implementation of biometric systems.
  • Keywords
    feature extraction; fingerprint identification; Slepian-Wolf fingerprint biometric system; alignment stage elimination; biometric systems; fingerprint feature extraction; fingerprint images; system requirement; Authentication; Biometrics (access control); Encoding; Feature extraction; Fingerprint recognition; Parity check codes; Vectors; Slepian-Wolf; alignment; biometric; feature extraction; fingerprint;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications (IST), 2012 Sixth International Symposium on
  • Conference_Location
    Tehran
  • Print_ISBN
    978-1-4673-2072-6
  • Type

    conf

  • DOI
    10.1109/ISTEL.2012.6483154
  • Filename
    6483154