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OCR systems based on convolution neocognitron network

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F11%3A43866455" target="_blank" >RIV/70883521:28140/11:43866455 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    OCR systems based on convolution neocognitron 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

  • Czech description

Classification

  • Type

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

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

  • 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

  • Name of the periodical

    International Journal of Mathematical Models and Methods in Applied Science

  • ISSN

    1998-0140

  • e-ISSN

  • Volume of the periodical

    5

  • Issue of the periodical within the volume

    7

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    8

  • Pages from-to

    1257-1264

  • UT code for WoS article

  • EID of the result in the Scopus database