Preprocessing of a Fingerprint Image Captured with a Mobile Camera

  • Chulhan Lee
  • Sanghoon Lee
  • Jaihie Kim
  • Sung-Jae Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3832)


A preprocessing algorithm of a fingerprint image captured with a mobile camera is proposed. Fingerprint images from a mobile camera are different from images from conventional or touch-based sensors such as optical, capacitive, and thermal sensors. For example, images from a mobile camera are colored and the backgrounds or non-finger regions can be very erratic depending on how the image captures time and place. Also, the contrast between the ridges and valleys of images from a mobile camera is lower than that of images from touch-based sensors. Because of these differences between the input images, a new and modified fingerprint preprocessing algorithm is required for fingerprint recognition when using images captured with a mobile camera.


Background Region Fingerprint Image Orientation Estimation False Acceptance Rate Preprocessing Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Chulhan Lee
    • 1
  • Sanghoon Lee
    • 1
  • Jaihie Kim
    • 1
  • Sung-Jae Kim
    • 2
  1. 1.Biometrics Engineering Research Center, Department of Electrical and Electronic EngineeringYonsei UniversitySeoulKorea
  2. 2.Multimedia Lab., SOC R&D centerSamsung Electronics Co., LtdGyeonggi-DoKorea

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