Preprocessing of fingerprint images captured with a digital camera

B. Y. Hiew, Andrew B.J. Teoh, David C.L. Ngo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

28 Citations (Scopus)

Abstract

Reliable touch-less fingerprint recognition still remains a challenge nowadays as the conventional techniques that used to preprocess the optical or capacitance sensor acquired fingerprint image, for segmentation, enhancement and core point detection, are inadequate to serve the purpose. The problems of the touch-less fingerprint recognition are the low contrast between the ridges and the valleys in fingerprint images, defocus and motion blur. However, it imposes a competency for a further advancing of this biometric modality since it frees from the problems in terms of hygienic, maintenance and latent fingerprints. In this paper, the digital camera is opted as the device to capture the fingerprint image in RGB format and the procedures to segment, enhance and detect the core point of the fingerprint image are outlined.

Original languageEnglish
Title of host publication9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06
DOIs
Publication statusPublished - 2006 Dec 1
Event9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06 - Singapore, Singapore
Duration: 2006 Dec 52006 Dec 8

Publication series

Name9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06

Other

Other9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06
CountrySingapore
CitySingapore
Period06/12/506/12/8

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering

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  • Cite this

    Hiew, B. Y., Teoh, A. B. J., & Ngo, D. C. L. (2006). Preprocessing of fingerprint images captured with a digital camera. In 9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06 [4150099] (9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06). https://doi.org/10.1109/ICARCV.2006.345189