A Fast Automatic Fingerprint Identification Method Based on a Weighted-Mean of Binary Image

Yu HE; Ryuji KOHNO; Hideki IMAI

A Fast Automatic Fingerprint Identification Method Based on a Weighted-Mean of Binary Image

Yu HE, Ryuji KOHNO, Hideki IMAI

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This paper first proposes a fast fingerprint identification method based on a weighted-mean of binary image, and further investigates optimization of the weights. The proposed method uses less computer memory than the conventional pattern matching method, and takes less computation time than both the feature extraction method and the pattern matching method. It is particularly effective on the fingerprints with a small angle of inclination. In order to improve the identification precision of the proposed basic method, three schemes of modifying the proposed basic method are also proposed. The performance of the proposed basic method and its modified schemes is evaluated by theoretical analysis and computer experiment using the fingerprint images recorded from a fingerprint read-in device. The numerical results showed that the proposed method using the modified schemes can improve both the true acceptance rate and the false rejection rate with less memory and complexity in comparison with the conventional pattern matching method and the feature extraction method.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E76-A No.9 pp.1469-1482

Publication Date: 1993/09/25

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Type of Manuscript: Special Section PAPER (Special Section on Information Theory and Its Applications)

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Yu HE, Ryuji KOHNO, Hideki IMAI, "A Fast Automatic Fingerprint Identification Method Based on a Weighted-Mean of Binary Image" in IEICE TRANSACTIONS on Fundamentals, vol. E76-A, no. 9, pp. 1469-1482, September 1993, doi: .
Abstract: This paper first proposes a fast fingerprint identification method based on a weighted-mean of binary image, and further investigates optimization of the weights. The proposed method uses less computer memory than the conventional pattern matching method, and takes less computation time than both the feature extraction method and the pattern matching method. It is particularly effective on the fingerprints with a small angle of inclination. In order to improve the identification precision of the proposed basic method, three schemes of modifying the proposed basic method are also proposed. The performance of the proposed basic method and its modified schemes is evaluated by theoretical analysis and computer experiment using the fingerprint images recorded from a fingerprint read-in device. The numerical results showed that the proposed method using the modified schemes can improve both the true acceptance rate and the false rejection rate with less memory and complexity in comparison with the conventional pattern matching method and the feature extraction method.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/e76-a_9_1469/_p

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@ARTICLE{e76-a_9_1469,
author={Yu HE, Ryuji KOHNO, Hideki IMAI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Fast Automatic Fingerprint Identification Method Based on a Weighted-Mean of Binary Image},
year={1993},
volume={E76-A},
number={9},
pages={1469-1482},
abstract={This paper first proposes a fast fingerprint identification method based on a weighted-mean of binary image, and further investigates optimization of the weights. The proposed method uses less computer memory than the conventional pattern matching method, and takes less computation time than both the feature extraction method and the pattern matching method. It is particularly effective on the fingerprints with a small angle of inclination. In order to improve the identification precision of the proposed basic method, three schemes of modifying the proposed basic method are also proposed. The performance of the proposed basic method and its modified schemes is evaluated by theoretical analysis and computer experiment using the fingerprint images recorded from a fingerprint read-in device. The numerical results showed that the proposed method using the modified schemes can improve both the true acceptance rate and the false rejection rate with less memory and complexity in comparison with the conventional pattern matching method and the feature extraction method.},
keywords={},
doi={},
ISSN={},
month={September},}

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TY - JOUR
TI - A Fast Automatic Fingerprint Identification Method Based on a Weighted-Mean of Binary Image
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1469
EP - 1482
AU - Yu HE
AU - Ryuji KOHNO
AU - Hideki IMAI
PY - 1993
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E76-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 1993
AB - This paper first proposes a fast fingerprint identification method based on a weighted-mean of binary image, and further investigates optimization of the weights. The proposed method uses less computer memory than the conventional pattern matching method, and takes less computation time than both the feature extraction method and the pattern matching method. It is particularly effective on the fingerprints with a small angle of inclination. In order to improve the identification precision of the proposed basic method, three schemes of modifying the proposed basic method are also proposed. The performance of the proposed basic method and its modified schemes is evaluated by theoretical analysis and computer experiment using the fingerprint images recorded from a fingerprint read-in device. The numerical results showed that the proposed method using the modified schemes can improve both the true acceptance rate and the false rejection rate with less memory and complexity in comparison with the conventional pattern matching method and the feature extraction method.
ER -