Automatic digital camera based fingerprint image preprocessing

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

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

19 Citations (Scopus)

Abstract

Touch-less fingerprint recognition has been receiving attention recently as it frees from the problems in terms of hygienic, maintenance and latent fingerprints. However, 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 consist of low contrast between the ridges and the valleys in fingerprint images, defocus and motion blur. In this paper, we opt for digital camera as the device to capture the fingerprint image in RGB format and we outline the procedures to segment, enhance and detect the core point of the fingerprint image.

Original languageEnglish
Title of host publicationProceedings - Computer Graphics, Imaging and Visualisation
Subtitle of host publicationTechniques and Applications, CGIV'06
Pages182-187
Number of pages6
DOIs
Publication statusPublished - 2006 Dec 1
EventInternational Conference on Computer Graphics, Imaging and Visualisation, CGIV'06 - Sydney, Australia
Duration: 2006 Jul 262006 Jul 28

Publication series

NameProceedings - Computer Graphics, Imaging and Visualisation: Techniques and Applications, CGIV'06
Volume2006

Other

OtherInternational Conference on Computer Graphics, Imaging and Visualisation, CGIV'06
CountryAustralia
CitySydney
Period06/7/2606/7/28

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Software

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  • Cite this

    Hiew, B. Y., Teoh, A. B. J., & Ngo, D. C. L. (2006). Automatic digital camera based fingerprint image preprocessing. In Proceedings - Computer Graphics, Imaging and Visualisation: Techniques and Applications, CGIV'06 (pp. 182-187). [1663788] (Proceedings - Computer Graphics, Imaging and Visualisation: Techniques and Applications, CGIV'06; Vol. 2006). https://doi.org/10.1109/CGIV.2006.27