• DocumentCode
    2440065
  • Title

    A pitfall in fingerprint features extraction

  • Author

    Zhang, Peng ; Li, Cai ; Hu, Jiankun

  • Author_Institution
    Sch. of Comput. Sci. &, Inf. Technol., R. Melbourne Inst. of Technol. Melbourne, Melbourne, VIC, Australia
  • fYear
    2010
  • fDate
    7-10 Dec. 2010
  • Firstpage
    13
  • Lastpage
    18
  • Abstract
    In fingerprint feature extraction, it is perceived that pixel-level image rotation transformation is a lossless transformation process. In this paper, investigation has been conducted on analyzing the underlying mechanisms of fingerprint image rotation processing and potential effect on the major features, mainly minutiae and singular point, of the rotation transformed fingerprint. Qualitative and quantitative analysis have been provided based on the intensive experiments. It is observed that the information integrity of the original fingerprint image can be significantly compromised by the image rotation transformation process, which can cause noticeable singular point change and produce non-negligible number of fake minutiae. It is found that the quantization and interpolation process can change the fingerprint features significantly though they may not change the image visually.
  • Keywords
    feature extraction; fingerprint identification; interpolation; fingerprint features extraction; fingerprint image rotation processing; interpolation process; pixel-level image rotation transformation; quantization process; Algorithm design and analysis; Feature extraction; Fingerprint recognition; Image matching; Interpolation; Pixel; Security; fingerprint features; minutiae; rotation transformation; singular point;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-7814-9
  • Type

    conf

  • DOI
    10.1109/ICARCV.2010.5707953
  • Filename
    5707953