Preprocessing of fingerprint images captured with a digital camera

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

doi:10.1109/ICARCV.2006.345189

Preprocessing of fingerprint images captured with a digital camera

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

29 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 language	English
Title of host publication	9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06
DOIs	https://doi.org/10.1109/ICARCV.2006.345189
Publication status	Published - 2006
Event	9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06 - Singapore, Singapore Duration: 2006 Dec 5 → 2006 Dec 8

Publication series

Name	9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06

Other

Other	9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06
Country	Singapore
City	Singapore
Period	06/12/5 → 06/12/8

All Science Journal Classification (ASJC) codes

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

Access to Document

10.1109/ICARCV.2006.345189

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Cite this

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title = "Preprocessing of fingerprint images captured with a digital camera",

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.",

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

note = "Copyright: Copyright 2008 Elsevier B.V., All rights reserved.; 9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06 ; Conference date: 05-12-2006 Through 08-12-2006",

year = "2006",

doi = "10.1109/ICARCV.2006.345189",

language = "English",

isbn = "1424403421",

series = "9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06",

booktitle = "9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06",

}

Hiew, BY, Teoh, ABJ & Ngo, DCL 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, 9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06, Singapore, Singapore, 06/12/5. https://doi.org/10.1109/ICARCV.2006.345189

Preprocessing of fingerprint images captured with a digital camera. / Hiew, B. Y.; Teoh, Andrew B.J.; Ngo, David C.L.

9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06. 2006. 4150099 (9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06).

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

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AU - Teoh, Andrew B.J.

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N2 - 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.

AB - 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.

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