Signature verification using ART-2 neural network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F02%3A00072967" target="_blank" >RIV/49777513:23520/02:00072967 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Signature verification using ART-2 neural network
Original language description
In this paper we describe the use of the ART-2 neural network model for signature verification. The biometric data of all signatures were acquired by a special digital data acquisition pen and fast wavelet transformation was used for feature extraction.The architecture of the verifer and achieved results are discussed here and ideas for future research are also suggested.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/ME%20363" target="_blank" >ME 363: Smart Piezo Pressor Pen for On-line Handwritten Character Recognition (Smart P3)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2002
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Signature verification using ART-2 neural network
ISBN
981047525X
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
1
Publisher name
Nanyang Technological University
Place of publication
Singapore
Event location
Singapore
Event date
Jan 1, 2002
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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