• DocumentCode
    3147751
  • Title

    A modified thinning algorithm for fingerprint identification systems

  • Author

    Saleh, Amira M. ; Eldin, Ayman M Bahaa ; Wahdan, Abdel-Moneim A.

  • Author_Institution
    Comput. & Syst. Eng. Dept., Ain Shams Univ., Cairo, Egypt
  • fYear
    2009
  • fDate
    14-16 Dec. 2009
  • Firstpage
    371
  • Lastpage
    376
  • Abstract
    A critical step in fingerprint identification system is the thinning of the input fingerprint image. The performance of a minutiae extraction algorithm relies heavily on the quality of the thinning algorithm. In this paper, a fast fingerprint thinning algorithm is introduced. The algorithm works directly on the gray-scale image not the binarized one where binarization of fingerprint causes many spurious minutiae and also removes many important features. The performance of the thinning algorithm is evaluated using many fingerprint images. Experimental results show that the proposed thinning algorithm is both fast and accurate.
  • Keywords
    feature extraction; fingerprint identification; fingerprint identification systems; fingerprint thinning algorithm; gray-scale image; input fingerprint image; minutiae extraction; modified thinning algorithm; Biometrics; Fingerprint recognition; Flowcharts; Gray-scale; Image matching; Image processing; Image segmentation; Phase detection; Pixel; Systems engineering and theory; Biometrics; fingerprint identification; image processing; image segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Engineering & Systems, 2009. ICCES 2009. International Conference on
  • Conference_Location
    Cairo
  • Print_ISBN
    978-1-4244-5842-4
  • Electronic_ISBN
    978-1-4244-5843-1
  • Type

    conf

  • DOI
    10.1109/ICCES.2009.5383239
  • Filename
    5383239