The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
개인 신원 확인에는 EC뿐만 아니라 컴퓨터 단말기, 건물 액세스, 신용 카드 확인 등 다양한 응용 프로그램이 있습니다. 개인 신원 확인을 위한 알고리즘은 크게 정적/동적 기반, 생체/물리적 또는 지식 기반에 따라 네 가지 범주로 분류할 수 있습니다. 예를 들어 지문, 홍채, 망막, DNA, 얼굴, 혈관은 정적이며 생체 인식입니다. 생체 인식 및 동적 알고리즘에는 입술 움직임, 신체 움직임 및 온라인 서명이 포함됩니다. 비밀번호를 사용하는 방식은 정적이고 지식 기반인 반면, 자기 카드와 IC 카드를 사용하는 방식은 물리적입니다. 각 계획에는 당연히 고유한 장점과 단점이 있습니다. 펜 위치, 펜 압력 및 펜 경사 궤적을 통합한 펜 입력 온라인 서명 확인을 위한 새로운 알고리즘이 제안되었습니다. 293명의 개인의 진품 글 540편과 위조 글 8편으로 구성된 데이터베이스를 대상으로 예비 실험을 실시하였다. 평균 정답검증률은 97.6%, 위조검증률은 평균 98.7%로 나타났다. 미세 조정이 수행되지 않았기 때문에 이 예비 결과는 매우 유망해 보입니다.
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Yoshimitsu KOMIYA, Tetsu OHISHI, Takashi MATSUMOTO, "A Pen Input On-Line Signature Verifier Integrating Position, Pressure and Inclination Trajectories" in IEICE TRANSACTIONS on Information,
vol. E84-D, no. 7, pp. 833-838, July 2001, doi: .
Abstract: Personal identity verification has a great variety of applications including access to computer terminals, buildings, credit card verification as well as EC. Algorithms for personal identity verification can be roughly classified into four categories depending on static/dynamic and biometric/physical or knowledge based. Finger prints, iris, retina, DNA, face, blood vessels, for instance, are static and biometric. Algorithms which are biometric and dynamic include lip movements, body movements and on-line signatures. Schemes which use passwords are static and knowledge based, whereas methods using magnetic cards and IC cards are physical. Each scheme naturally has its own advantages and disadvantages. A new algorithm is proposed for pen-input on-line signature verification incorporating pen-position, pen-pressure and pen-inclinations trajectories. A preliminary experiment is performed on a data base consisting of 293 genuine writings and 540 forgery writings, from 8 individuals. Average correct verification rate was 97.6% whereas average forgery refection rate was 98.7%. Since no fine tuning was done, this preliminary result looks very promising.
URL: https://global.ieice.org/en_transactions/information/10.1587/e84-d_7_833/_p
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@ARTICLE{e84-d_7_833,
author={Yoshimitsu KOMIYA, Tetsu OHISHI, Takashi MATSUMOTO, },
journal={IEICE TRANSACTIONS on Information},
title={A Pen Input On-Line Signature Verifier Integrating Position, Pressure and Inclination Trajectories},
year={2001},
volume={E84-D},
number={7},
pages={833-838},
abstract={Personal identity verification has a great variety of applications including access to computer terminals, buildings, credit card verification as well as EC. Algorithms for personal identity verification can be roughly classified into four categories depending on static/dynamic and biometric/physical or knowledge based. Finger prints, iris, retina, DNA, face, blood vessels, for instance, are static and biometric. Algorithms which are biometric and dynamic include lip movements, body movements and on-line signatures. Schemes which use passwords are static and knowledge based, whereas methods using magnetic cards and IC cards are physical. Each scheme naturally has its own advantages and disadvantages. A new algorithm is proposed for pen-input on-line signature verification incorporating pen-position, pen-pressure and pen-inclinations trajectories. A preliminary experiment is performed on a data base consisting of 293 genuine writings and 540 forgery writings, from 8 individuals. Average correct verification rate was 97.6% whereas average forgery refection rate was 98.7%. Since no fine tuning was done, this preliminary result looks very promising.},
keywords={},
doi={},
ISSN={},
month={July},}
부
TY - JOUR
TI - A Pen Input On-Line Signature Verifier Integrating Position, Pressure and Inclination Trajectories
T2 - IEICE TRANSACTIONS on Information
SP - 833
EP - 838
AU - Yoshimitsu KOMIYA
AU - Tetsu OHISHI
AU - Takashi MATSUMOTO
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E84-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2001
AB - Personal identity verification has a great variety of applications including access to computer terminals, buildings, credit card verification as well as EC. Algorithms for personal identity verification can be roughly classified into four categories depending on static/dynamic and biometric/physical or knowledge based. Finger prints, iris, retina, DNA, face, blood vessels, for instance, are static and biometric. Algorithms which are biometric and dynamic include lip movements, body movements and on-line signatures. Schemes which use passwords are static and knowledge based, whereas methods using magnetic cards and IC cards are physical. Each scheme naturally has its own advantages and disadvantages. A new algorithm is proposed for pen-input on-line signature verification incorporating pen-position, pen-pressure and pen-inclinations trajectories. A preliminary experiment is performed on a data base consisting of 293 genuine writings and 540 forgery writings, from 8 individuals. Average correct verification rate was 97.6% whereas average forgery refection rate was 98.7%. Since no fine tuning was done, this preliminary result looks very promising.
ER -