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OCR systems in language specific environments

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F11%3A43866453" target="_blank" >RIV/70883521:28140/11:43866453 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    OCR systems in language specific environments

  • Original language description

    This paper is focused on describing methods which can be used for improving optical recognition systems. Nowadays optical recognition systems are based on neural networks. These systems have respectable success rate in handwritten recognition. Main problem of these OCRs is in recognition of handwritten text in language specific format. Success rate is affected by specifics of these languages like diacritics etc. The main goal of this work is to discover new ways or solutions of the language specific handwritten text recognition

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • 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

  • Article name in the collection

    Recent Researches in Automatic Control

  • ISBN

    978-1-61804-004-6

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    167-170

  • Publisher name

    WSEAS Press

  • Place of publication

    Montreux

  • Event location

    Lanzarote

  • Event date

    May 27, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article