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Related Experiment Videos

Recognizable-image selection for fingerprint recognition with a mobile-device camera.

Dongjae Lee1, Kyoungtaek Choi, Heeseung Choi

  • 1Embedded S/W Center, System LSI, Samsung Electronics Company, Ltd., Gyeonggi-Do 446 711, Korea.

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
|February 14, 2008
PubMed
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This study introduces a new algorithm for selecting high-quality fingerprint images from mobile cameras. This method enhances fingerprint verification by ensuring images have clear details and optimal finger positioning.

Area of Science:

  • Biometrics
  • Computer Vision
  • Mobile Device Technology

Background:

  • Mobile cameras face challenges in capturing high-quality fingerprint images for verification.
  • Standard focus measures are insufficient for acquiring recognizable fingerprint images on mobile devices.

Purpose of the Study:

  • To develop an algorithm for selecting recognizable fingerprint images using mobile device cameras.
  • To improve fingerprint verification performance by enhancing image acquisition.

Main Methods:

  • Proposed a focus-measurement algorithm using secondary partial derivatives.
  • Developed a quality estimation method based on gradient distribution coherence and symmetry.
  • Introduced a method to estimate finger rolling and pitching degrees using core point and contour data.

Related Experiment Videos

Main Results:

  • The proposed algorithm effectively selects valid regions for fingerprint recognition.
  • Accurate estimation of finger rolling and pitching degrees was achieved.
  • Fingerprint verification performance showed improvement with the proposed recognizable image detection.

Conclusions:

  • The developed algorithm successfully identifies suitable fingerprint images from mobile cameras.
  • This approach enhances the reliability and accuracy of mobile-based fingerprint verification systems.