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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

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

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

  • 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