Automatic Fingerprint Classifier and Its Application to Access Control

Satoshi HASHIMOTO; Yutaka HATA; Kyoichi NAKASHIMA; Kazuharu YAMATO

Automatic Fingerprint Classifier and Its Application to Access Control

Satoshi HASHIMOTO, Yutaka HATA, Kyoichi NAKASHIMA, Kazuharu YAMATO

Full Text Views

0

Cite this

Summary :

The purpose of this paper is to establish an access control system by using only fingerprint identification. In order to minimize the identification time, we propose a new fingerprint classification suitable for a personal computer, and the real machine by using the classification is introduced. Our classification is implemented by only cores which are one of the features on fingerprint pattern. Therefore, it classifies all fingerprints into one of 11 classes rapidly on a personal computer. In the machine, an input fingerprint is classified and compared with ones registered in the same class. If both the input fingerprint and the registered one match, the person is allowed entry to the restricted area. Simulation results show that 443 fingerprint patterns (45 persons) are classified completely and rapidly. And the machine is effective and useful as identifier for home and room security.

Publication: IEICE TRANSACTIONS on transactions Vol.E73-E No.7 pp.1120-1126

Publication Date: 1990/07/25

Publicized

Online ISSN

DOI

Type of Manuscript: Special Section PAPER (Special Issue on Cryptography and Information Security)

Category: Applications

Authors

Satoshi HASHIMOTO
Yutaka HATA
Kyoichi NAKASHIMA
Kazuharu YAMATO

Keyword

Cite this

Copy

Satoshi HASHIMOTO, Yutaka HATA, Kyoichi NAKASHIMA, Kazuharu YAMATO, "Automatic Fingerprint Classifier and Its Application to Access Control" in IEICE TRANSACTIONS on transactions, vol. E73-E, no. 7, pp. 1120-1126, July 1990, doi: .
Abstract: The purpose of this paper is to establish an access control system by using only fingerprint identification. In order to minimize the identification time, we propose a new fingerprint classification suitable for a personal computer, and the real machine by using the classification is introduced. Our classification is implemented by only cores which are one of the features on fingerprint pattern. Therefore, it classifies all fingerprints into one of 11 classes rapidly on a personal computer. In the machine, an input fingerprint is classified and compared with ones registered in the same class. If both the input fingerprint and the registered one match, the person is allowed entry to the restricted area. Simulation results show that 443 fingerprint patterns (45 persons) are classified completely and rapidly. And the machine is effective and useful as identifier for home and room security.
URL: https://global.ieice.org/en_transactions/transactions/10.1587/e73-e_7_1120/_p

Copy

@ARTICLE{e73-e_7_1120,
author={Satoshi HASHIMOTO, Yutaka HATA, Kyoichi NAKASHIMA, Kazuharu YAMATO, },
journal={IEICE TRANSACTIONS on transactions},
title={Automatic Fingerprint Classifier and Its Application to Access Control},
year={1990},
volume={E73-E},
number={7},
pages={1120-1126},
abstract={The purpose of this paper is to establish an access control system by using only fingerprint identification. In order to minimize the identification time, we propose a new fingerprint classification suitable for a personal computer, and the real machine by using the classification is introduced. Our classification is implemented by only cores which are one of the features on fingerprint pattern. Therefore, it classifies all fingerprints into one of 11 classes rapidly on a personal computer. In the machine, an input fingerprint is classified and compared with ones registered in the same class. If both the input fingerprint and the registered one match, the person is allowed entry to the restricted area. Simulation results show that 443 fingerprint patterns (45 persons) are classified completely and rapidly. And the machine is effective and useful as identifier for home and room security.},
keywords={},
doi={},
ISSN={},
month={July},}

Copy

TY - JOUR
TI - Automatic Fingerprint Classifier and Its Application to Access Control
T2 - IEICE TRANSACTIONS on transactions
SP - 1120
EP - 1126
AU - Satoshi HASHIMOTO
AU - Yutaka HATA
AU - Kyoichi NAKASHIMA
AU - Kazuharu YAMATO
PY - 1990
DO -
JO - IEICE TRANSACTIONS on transactions
SN -
VL - E73-E
IS - 7
JA - IEICE TRANSACTIONS on transactions
Y1 - July 1990
AB - The purpose of this paper is to establish an access control system by using only fingerprint identification. In order to minimize the identification time, we propose a new fingerprint classification suitable for a personal computer, and the real machine by using the classification is introduced. Our classification is implemented by only cores which are one of the features on fingerprint pattern. Therefore, it classifies all fingerprints into one of 11 classes rapidly on a personal computer. In the machine, an input fingerprint is classified and compared with ones registered in the same class. If both the input fingerprint and the registered one match, the person is allowed entry to the restricted area. Simulation results show that 443 fingerprint patterns (45 persons) are classified completely and rapidly. And the machine is effective and useful as identifier for home and room security.
ER -