IEICE TRANSACTIONS on Fundamentals
Fingerprint Restoration Using Digital Reaction-Diffusion System and Its Evaluation
Summary :
This paper presents an algorithm for fingerprint image restoration using Digital Reaction-Diffusion System (DRDS). The DRDS is a model of a discrete-time discrete-space nonlinear reaction-diffusion dynamical system, which is useful for generating biological textures, patterns and structures. This paper focuses on the design of a fingerprint restoration algorithm that combines (i) a ridge orientation estimation technique using an iterative coarse-to-fine processing strategy and (ii) an adaptive DRDS having a capability of enhancing low-quality fingerprint images using the estimated ridge orientation. The phase-only image matching technique is employed for evaluating the similarity between an original fingerprint image and a restored image. The proposed algorithm may be useful for person identification applications using fingerprint images.
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- IEICE TRANSACTIONS on Fundamentals Vol.E86-A No.8 pp.1916-1924
- Publication Date
- 2003/08/01
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- Special Section PAPER (Special Section on Digital Signal Processing)
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Koichi ITO, Takafumi AOKI, Tatsuo HIGUCHI, "Fingerprint Restoration Using Digital Reaction-Diffusion System and Its Evaluation" in IEICE TRANSACTIONS on Fundamentals,
vol. E86-A, no. 8, pp. 1916-1924, August 2003, doi: .
Abstract: This paper presents an algorithm for fingerprint image restoration using Digital Reaction-Diffusion System (DRDS). The DRDS is a model of a discrete-time discrete-space nonlinear reaction-diffusion dynamical system, which is useful for generating biological textures, patterns and structures. This paper focuses on the design of a fingerprint restoration algorithm that combines (i) a ridge orientation estimation technique using an iterative coarse-to-fine processing strategy and (ii) an adaptive DRDS having a capability of enhancing low-quality fingerprint images using the estimated ridge orientation. The phase-only image matching technique is employed for evaluating the similarity between an original fingerprint image and a restored image. The proposed algorithm may be useful for person identification applications using fingerprint images.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e86-a_8_1916/_p
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@ARTICLE{e86-a_8_1916,
author={Koichi ITO, Takafumi AOKI, Tatsuo HIGUCHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Fingerprint Restoration Using Digital Reaction-Diffusion System and Its Evaluation},
year={2003},
volume={E86-A},
number={8},
pages={1916-1924},
abstract={This paper presents an algorithm for fingerprint image restoration using Digital Reaction-Diffusion System (DRDS). The DRDS is a model of a discrete-time discrete-space nonlinear reaction-diffusion dynamical system, which is useful for generating biological textures, patterns and structures. This paper focuses on the design of a fingerprint restoration algorithm that combines (i) a ridge orientation estimation technique using an iterative coarse-to-fine processing strategy and (ii) an adaptive DRDS having a capability of enhancing low-quality fingerprint images using the estimated ridge orientation. The phase-only image matching technique is employed for evaluating the similarity between an original fingerprint image and a restored image. The proposed algorithm may be useful for person identification applications using fingerprint images.},
keywords={},
doi={},
ISSN={},
month={August},}
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TY - JOUR
TI - Fingerprint Restoration Using Digital Reaction-Diffusion System and Its Evaluation
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1916
EP - 1924
AU - Koichi ITO
AU - Takafumi AOKI
AU - Tatsuo HIGUCHI
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E86-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2003
AB - This paper presents an algorithm for fingerprint image restoration using Digital Reaction-Diffusion System (DRDS). The DRDS is a model of a discrete-time discrete-space nonlinear reaction-diffusion dynamical system, which is useful for generating biological textures, patterns and structures. This paper focuses on the design of a fingerprint restoration algorithm that combines (i) a ridge orientation estimation technique using an iterative coarse-to-fine processing strategy and (ii) an adaptive DRDS having a capability of enhancing low-quality fingerprint images using the estimated ridge orientation. The phase-only image matching technique is employed for evaluating the similarity between an original fingerprint image and a restored image. The proposed algorithm may be useful for person identification applications using fingerprint images.
ER -
English
