OCR systems based on neural network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F11%3A43866451" target="_blank" >RIV/70883521:28140/11:43866451 - 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
OCR systems based on neural network
Original language description
This paper deals with the recognition of handwritten text. It is mainly discussing improving nowadays OCR systems. In detail is this article focused on the possibilities of implementing the neocognitron network in this improvement. Next part deals with the problems of document processing, recognition of individual characters and subsequent search for whole words against the dictionary. Main goal of this work is to invent new principles in the field of processing hand written text especially focused on text with language specifics like diacritics
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Annals of DAAAM for 2011 & Proceedings of the 22nd International DAAAM Symposium "Intelligent Manufacturing & Automation: Power of Knowledge and Creativity"
ISBN
978-3-901509-83-4
ISSN
1726-9679
e-ISSN
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Number of pages
2
Pages from-to
555-556
Publisher name
DAAAM International Vienna
Place of publication
Vienna
Event location
Vienna
Event date
Nov 23, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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