• DocumentCode
    2459471
  • Title

    Fingerprint image enhancement by pixel-parallel processing

  • Author

    Ikeda, Namiko ; Nakanishi, Mamoru ; Fujii, Koji ; Hatano, Takahiro ; Shigematsu, Satoshi ; Adachi, Takuya ; Okazaki, Yukio ; Kyuragi, Hakaru

  • Author_Institution
    NTT Lifestyle & Environ. Technol. Labs., Kanagawa, Japan
  • Volume
    3
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    752
  • Abstract
    This paper proposes a fingerprint image enhancement algorithm that can be mapped onto a compact pixel-parallel architecture, such as a fingerprint identification chip that senses and identifies fingerprints by itself. The algorithm is composed of two parts. First, ridges are enhanced by extracting their center lines and removing white noises using the center line image. Then valleys are enhanced by detecting areas where they are thin and disconnected and dilating them at these areas. Both enhancements are done with the structures of the fingerprint maintained. The experimental results show fingerprint identification using the proposed image enhancement algorithm improves the error ratio of that the conventional method, and the execution time is 0.14 msec when the proposed algorithm is performed on the array of processing elements on the fingerprint identification chip.
  • Keywords
    edge detection; feature extraction; fingerprint identification; image enhancement; parallel architectures; parallel processing; center line extraction; feature extraction; fingerprint image enhancement; image enhancement; morphological filter; parallel architecture; pixel-parallel processing; ridge enhancement; valley enhancement; white noise reduction; Cellular phones; Fingerprint recognition; Fingers; Image enhancement; Image matching; Parallel architectures; Personal digital assistants; Pixel; White noise; Wiener filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2002. Proceedings. 16th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-1695-X
  • Type

    conf

  • DOI
    10.1109/ICPR.2002.1048099
  • Filename
    1048099