Fast image recognition based on n-tuple neural networks implemented in an FPGA
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F16%3A43927493" target="_blank" >RIV/49777513:23220/16:43927493 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/article/10.1007/s11554-013-0331-8" target="_blank" >http://link.springer.com/article/10.1007/s11554-013-0331-8</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11554-013-0331-8" target="_blank" >10.1007/s11554-013-0331-8</a>
Alternative languages
Result language
angličtina
Original language name
Fast image recognition based on n-tuple neural networks implemented in an FPGA
Original language description
This paper deals with the design and the implementation of an image recognition system based on FPGA devices. It explores an n-tuple methodology using node 'grouping' and the possible advantages offered by this little-known technique. The paper is based on the implementation of this concept by an FPGA device. A novel approach to the organization of the neural networks data in the n-tuple memory is introduced. The system was tested on a real-world recognition task-the recognition of road signs. The test results are presented and discussed. It is concluded that the designed system may be a powerful part of more complex equipment for the solution of many recognition issues.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/ED2.1.00%2F03.0094" target="_blank" >ED2.1.00/03.0094: Regional Innovation Centre for Electrical Engineering (RICE)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Real-Time Image Processing
ISSN
1861-8200
e-ISSN
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Volume of the periodical
11
Issue of the periodical within the volume
1
Country of publishing house
DE - GERMANY
Number of pages
12
Pages from-to
155-166
UT code for WoS article
000368377800014
EID of the result in the Scopus database
2-s2.0-84955668263