An Adaptive Fingerprint-Sensing Scheme for a User Authentication System with a Fingerprint Sensor LSI

Hiroki MORIMURA; Satoshi SHIGEMATSU; Toshishige SHIMAMURA; Koji FUJII; Chikara YAMAGUCHI; Hiroki SUTO; Yukio OKAZAKI; Katsuyuki MACHIDA; Hakaru KYURAGI

An Adaptive Fingerprint-Sensing Scheme for a User Authentication System with a Fingerprint Sensor LSI

Hiroki MORIMURA, Satoshi SHIGEMATSU, Toshishige SHIMAMURA, Koji FUJII, Chikara YAMAGUCHI, Hiroki SUTO, Yukio OKAZAKI, Katsuyuki MACHIDA, Hakaru KYURAGI

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This paper describes an adaptive fingerprint-sensing scheme for a user authentication system with a fingerprint sensor LSI to obtain high-quality fingerprint images suitable for identification. The scheme is based on novel evaluation indexes of fingerprint-image quality and adjustable analog-to-digital (A/D) conversion. The scheme adjusts dynamically an A/D conversion range of the fingerprint sensor LSI while evaluating the image quality during real-time fingerprint-sensing operation. The evaluation indexes pertain to the contrast and the ridgelines of a fingerprint image. The A/D conversion range is adjusted by changing quantization resolution and offset. We developed a fingerprint sensor LSI and a user authentication system to evaluate the adaptive fingerprint-sensing scheme. The scheme obtained a fingerprint image suitable for identification and the system achieved an accurate identification rate with 0.36% of the false rejection rate (FRR) at 0.075% of the false acceptance rate (FAR). This confirms that the scheme is very effective in achieving accurate identification.

Publication: IEICE TRANSACTIONS on Electronics Vol.E87-C No.5 pp.791-800

Publication Date: 2004/05/01

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Type of Manuscript: PAPER

Category: Integrated Electronics

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Hiroki MORIMURA, Satoshi SHIGEMATSU, Toshishige SHIMAMURA, Koji FUJII, Chikara YAMAGUCHI, Hiroki SUTO, Yukio OKAZAKI, Katsuyuki MACHIDA, Hakaru KYURAGI, "An Adaptive Fingerprint-Sensing Scheme for a User Authentication System with a Fingerprint Sensor LSI" in IEICE TRANSACTIONS on Electronics, vol. E87-C, no. 5, pp. 791-800, May 2004, doi: .
Abstract: This paper describes an adaptive fingerprint-sensing scheme for a user authentication system with a fingerprint sensor LSI to obtain high-quality fingerprint images suitable for identification. The scheme is based on novel evaluation indexes of fingerprint-image quality and adjustable analog-to-digital (A/D) conversion. The scheme adjusts dynamically an A/D conversion range of the fingerprint sensor LSI while evaluating the image quality during real-time fingerprint-sensing operation. The evaluation indexes pertain to the contrast and the ridgelines of a fingerprint image. The A/D conversion range is adjusted by changing quantization resolution and offset. We developed a fingerprint sensor LSI and a user authentication system to evaluate the adaptive fingerprint-sensing scheme. The scheme obtained a fingerprint image suitable for identification and the system achieved an accurate identification rate with 0.36% of the false rejection rate (FRR) at 0.075% of the false acceptance rate (FAR). This confirms that the scheme is very effective in achieving accurate identification.
URL: https://globals.ieice.org/en_transactions/electronics/10.1587/e87-c_5_791/_p

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@ARTICLE{e87-c_5_791,
author={Hiroki MORIMURA, Satoshi SHIGEMATSU, Toshishige SHIMAMURA, Koji FUJII, Chikara YAMAGUCHI, Hiroki SUTO, Yukio OKAZAKI, Katsuyuki MACHIDA, Hakaru KYURAGI, },
journal={IEICE TRANSACTIONS on Electronics},
title={An Adaptive Fingerprint-Sensing Scheme for a User Authentication System with a Fingerprint Sensor LSI},
year={2004},
volume={E87-C},
number={5},
pages={791-800},
abstract={This paper describes an adaptive fingerprint-sensing scheme for a user authentication system with a fingerprint sensor LSI to obtain high-quality fingerprint images suitable for identification. The scheme is based on novel evaluation indexes of fingerprint-image quality and adjustable analog-to-digital (A/D) conversion. The scheme adjusts dynamically an A/D conversion range of the fingerprint sensor LSI while evaluating the image quality during real-time fingerprint-sensing operation. The evaluation indexes pertain to the contrast and the ridgelines of a fingerprint image. The A/D conversion range is adjusted by changing quantization resolution and offset. We developed a fingerprint sensor LSI and a user authentication system to evaluate the adaptive fingerprint-sensing scheme. The scheme obtained a fingerprint image suitable for identification and the system achieved an accurate identification rate with 0.36% of the false rejection rate (FRR) at 0.075% of the false acceptance rate (FAR). This confirms that the scheme is very effective in achieving accurate identification.},
keywords={},
doi={},
ISSN={},
month={May},}

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TY - JOUR
TI - An Adaptive Fingerprint-Sensing Scheme for a User Authentication System with a Fingerprint Sensor LSI
T2 - IEICE TRANSACTIONS on Electronics
SP - 791
EP - 800
AU - Hiroki MORIMURA
AU - Satoshi SHIGEMATSU
AU - Toshishige SHIMAMURA
AU - Koji FUJII
AU - Chikara YAMAGUCHI
AU - Hiroki SUTO
AU - Yukio OKAZAKI
AU - Katsuyuki MACHIDA
AU - Hakaru KYURAGI
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Electronics
SN -
VL - E87-C
IS - 5
JA - IEICE TRANSACTIONS on Electronics
Y1 - May 2004
AB - This paper describes an adaptive fingerprint-sensing scheme for a user authentication system with a fingerprint sensor LSI to obtain high-quality fingerprint images suitable for identification. The scheme is based on novel evaluation indexes of fingerprint-image quality and adjustable analog-to-digital (A/D) conversion. The scheme adjusts dynamically an A/D conversion range of the fingerprint sensor LSI while evaluating the image quality during real-time fingerprint-sensing operation. The evaluation indexes pertain to the contrast and the ridgelines of a fingerprint image. The A/D conversion range is adjusted by changing quantization resolution and offset. We developed a fingerprint sensor LSI and a user authentication system to evaluate the adaptive fingerprint-sensing scheme. The scheme obtained a fingerprint image suitable for identification and the system achieved an accurate identification rate with 0.36% of the false rejection rate (FRR) at 0.075% of the false acceptance rate (FAR). This confirms that the scheme is very effective in achieving accurate identification.
ER -