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
Pengesahan identiti peribadi mempunyai pelbagai jenis aplikasi termasuk akses kepada terminal komputer, bangunan, pengesahan kad kredit serta EC. Algoritma untuk pengesahan identiti peribadi boleh dikelaskan secara kasar kepada empat kategori bergantung pada statik/dinamik dan biometrik/fizikal atau berasaskan pengetahuan. Cap jari, iris, retina, DNA, muka, saluran darah, contohnya, adalah statik dan biometrik. Algoritma yang biometrik dan dinamik termasuk pergerakan bibir, pergerakan badan dan tandatangan dalam talian. Skim yang menggunakan kata laluan adalah statik dan berasaskan pengetahuan, manakala kaedah menggunakan kad magnet dan kad IC adalah fizikal. Setiap skim secara semula jadi mempunyai kelebihan dan kekurangannya sendiri. Algoritma baharu dicadangkan untuk pengesahan tandatangan dalam talian input pen yang menggabungkan trajektori kedudukan pen, tekanan pen dan kecenderungan pen. Percubaan awal dilakukan pada pangkalan data yang terdiri daripada 293 tulisan tulen dan 540 tulisan palsu, daripada 8 individu. Purata kadar pengesahan betul ialah 97.6% manakala purata kadar refection pemalsuan ialah 98.7%. Oleh kerana tiada penalaan halus dilakukan, keputusan awal ini kelihatan sangat menjanjikan.
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Salinan
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
Salinan
@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},}
Salinan
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 -