Damaged Letter Recognition Methodology
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F13%3AA14018EQ" target="_blank" >RIV/61988987:17310/13:A14018EQ - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Damaged Letter Recognition Methodology
Original language description
The problem of optical character recognition is often solved, not only in the field of artificial intelligence itself, but also in everyday computer usage. We encountered this problem within the industrial project solved for real-life application. Best solver of such a task still remains human brain. Human beings are capable of character recognition even for damaged and highly incomplete images. In this paper, we present alternative softcomputing methods based on application of neural networks and fuzzylogic with evaluated syntax. We proposed a methodology of damaged letters recognition, which was experimentally verified. All experimental results were mutually compared in conclusion.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IJCCI 2013
ISBN
978-989-8565-77-8
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
535-541
Publisher name
SCITEPRESS - Science and Technology Publications
Place of publication
Portugal
Event location
Vilamoura, Algarve, Portugal
Event date
Sep 20, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—