Automatic digital camera based fingerprint image preprocessing

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

doi:10.1109/CGIV.2006.27

Automatic digital camera based fingerprint image preprocessing

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

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

21 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 language	English
Title of host publication	Proceedings - Computer Graphics, Imaging and Visualisation
Subtitle of host publication	Techniques and Applications, CGIV'06
Pages	182-187
Number of pages	6
DOIs	https://doi.org/10.1109/CGIV.2006.27
Publication status	Published - 2006
Event	International Conference on Computer Graphics, Imaging and Visualisation, CGIV'06 - Sydney, Australia Duration: 2006 Jul 26 → 2006 Jul 28

Publication series

Name	Proceedings - Computer Graphics, Imaging and Visualisation: Techniques and Applications, CGIV'06
Volume	2006

Other

Other	International Conference on Computer Graphics, Imaging and Visualisation, CGIV'06
Country	Australia
City	Sydney
Period	06/7/26 → 06/7/28

All Science Journal Classification (ASJC) codes

Computer Graphics and Computer-Aided Design
Software

Access to Document

10.1109/CGIV.2006.27

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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

@inproceedings{cfac5fb8341e4287940c070621efe8dc,

title = "Automatic digital camera based fingerprint image preprocessing",

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.",

author = "Hiew, {B. Y.} and Teoh, {Andrew B.J.} and Ngo, {David C.L.}",

note = "Copyright: Copyright 2008 Elsevier B.V., All rights reserved.; International Conference on Computer Graphics, Imaging and Visualisation, CGIV'06 ; Conference date: 26-07-2006 Through 28-07-2006",

year = "2006",

doi = "10.1109/CGIV.2006.27",

language = "English",

isbn = "0769526063",

series = "Proceedings - Computer Graphics, Imaging and Visualisation: Techniques and Applications, CGIV'06",

pages = "182--187",

booktitle = "Proceedings - Computer Graphics, Imaging and Visualisation",

}

Hiew, BY, Teoh, ABJ & Ngo, DCL 2006, Automatic digital camera based fingerprint image preprocessing. in Proceedings - Computer Graphics, Imaging and Visualisation: Techniques and Applications, CGIV'06., 1663788, Proceedings - Computer Graphics, Imaging and Visualisation: Techniques and Applications, CGIV'06, vol. 2006, pp. 182-187, International Conference on Computer Graphics, Imaging and Visualisation, CGIV'06, Sydney, Australia, 06/7/26. https://doi.org/10.1109/CGIV.2006.27

Automatic digital camera based fingerprint image preprocessing. / Hiew, B. Y.; Teoh, Andrew B.J.; Ngo, David C.L.

Proceedings - Computer Graphics, Imaging and Visualisation: Techniques and Applications, CGIV'06. 2006. p. 182-187 1663788 (Proceedings - Computer Graphics, Imaging and Visualisation: Techniques and Applications, CGIV'06; Vol. 2006).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - 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.

AB - 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.

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