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
A verificação de identidade pessoal tem uma grande variedade de aplicações, incluindo acesso a terminais de computador, edifícios, verificação de cartão de crédito, bem como CE. Os algoritmos para verificação de identidade pessoal podem ser classificados aproximadamente em quatro categorias, dependendo de estático/dinâmico e biométrico/físico ou baseado em conhecimento. Impressões digitais, íris, retina, DNA, rosto, vasos sanguíneos, por exemplo, são estáticas e biométricas. Algoritmos biométricos e dinâmicos incluem movimentos labiais, movimentos corporais e assinaturas on-line. Os esquemas que utilizam senhas são estáticos e baseados em conhecimento, enquanto os métodos que utilizam cartões magnéticos e cartões IC são físicos. Cada esquema tem naturalmente as suas próprias vantagens e desvantagens. Um novo algoritmo é proposto para verificação de assinatura on-line de entrada de caneta, incorporando trajetórias de posição, pressão e inclinação da caneta. Um experimento preliminar é realizado em um banco de dados composto por 293 escritos genuínos e 540 escritos falsificados, de 8 indivíduos. A taxa média de verificação correta foi de 97.6%, enquanto a taxa média de refração de falsificação foi de 98.7%. Como não foi feito nenhum ajuste fino, este resultado preliminar parece muito promissor.
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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},}
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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 -