Artificial Neural Networks in Computer Vision
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F12%3AA13014TL" target="_blank" >RIV/61988987:17310/12:A13014TL - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Artificial Neural Networks in Computer Vision
Original language description
The paper presents an important example of using artificial neural networks in computer vision. Automatic number plate recognition is a special form of optical character recognition (OCR) on images. Vehicle number plate recognition is a type of technology, mainly software, which enables computer systems to read automatically the registration number of vehicles from digital pictures. We proposed two methods that are able to determine and recognize vehicle registration plates. The first method finds somearea with a number plate, which is cut out from the input image and forwarded to another application that is able to recognize it. This method works on the basis of artificial neural networks. The performance of the proposed system has been tested on real images.
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
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Mendel 2011
ISBN
978-80-214-4540-6
ISSN
1803-3814
e-ISSN
—
Number of pages
6
Pages from-to
262-267
Publisher name
Brno Univerzity of Technology
Place of publication
Brno
Event location
Brno
Event date
Jun 27, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—