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Tools for Semi-automatic Preparation of Training Data for OCR

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F19%3A43955290" target="_blank" >RIV/49777513:23520/19:43955290 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-030-19823-7_29" target="_blank" >http://dx.doi.org/10.1007/978-3-030-19823-7_29</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-19823-7_29" target="_blank" >10.1007/978-3-030-19823-7_29</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Tools for Semi-automatic Preparation of Training Data for OCR

  • Original language description

    This work aims at data preparation for OCR systems based on recurrent neural networks. Precisely annotated data are necessary for training a network as well as for evaluation of OCR methods. Manual annotation is still needed in many cases, especially in the case of historical documents we are focusing on. Although there are several complex systems for historical document processing, to the best of our knowledge, a simple annotation tool for OCR data is missing. Therefore, we propose and implement a set of tools utilizing artificial intelligence that simplify the annotation process. These tools create ground truths for line images that are used for training of nowadays OCR systems.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/EF17_048%2F0007267" target="_blank" >EF17_048/0007267: Research and Development of Intelligent Components of Advanced Technologies for the Pilsen Metropolitan Area (InteCom)</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Artificial Intelligence Applications and Innovations

  • ISBN

    978-3-030-19822-0

  • ISSN

    1868-4238

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    351-361

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Crete

  • Event date

    May 24, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article