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

24 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/Territory	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.}",

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",

note = "International Conference on Computer Graphics, Imaging and Visualisation, CGIV'06 ; Conference date: 26-07-2006 Through 28-07-2006",

}

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

TY - GEN

T1 - Automatic digital camera based fingerprint image preprocessing

AU - Hiew, B. Y.

AU - Teoh, Andrew B.J.

AU - Ngo, David C.L.

PY - 2006

Y1 - 2006

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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M3 - Conference contribution

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SN - 9780769526065

T3 - Proceedings - Computer Graphics, Imaging and Visualisation: Techniques and Applications, CGIV'06

SP - 182

EP - 187

BT - Proceedings - Computer Graphics, Imaging and Visualisation

T2 - International Conference on Computer Graphics, Imaging and Visualisation, CGIV'06

Y2 - 26 July 2006 through 28 July 2006

ER -

Automatic digital camera based fingerprint image preprocessing

Abstract

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All Science Journal Classification (ASJC) codes

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