• Title of article

    A Systematic Mapping Study on OCR Techniques

  • Author/Authors

    Mehmood، Zafar نويسنده Faculty of Computer Science and Information T University of Gujrat .Pakistan , , Iqbal، Muddesar نويسنده Faculty of Computer Science and Information T University of Gujrat .Pakistan , , Ali، Muhammad نويسنده Faculty of Computer Science and Information T University of Gujrat .Pakistan , , Iqbal، Zahid نويسنده Faculty of Computer Science and Information T University of Gujrat .Pakistan , , Anwar Butt، Naveed نويسنده Faculty of Computer Science and Information T University of Gujrat .Pakistan ,

  • Issue Information
    ماهنامه با شماره پیاپی سال 2014
  • Pages
    17
  • From page
    65
  • To page
    81
  • Abstract
    This paper presents a systematic review on optical character recognition techniques. In this review paper we will present an overview of different technique used in OCR through systematic mapping. Which type of research is used for exploring OCR techniques (survey, case study, solution proposal etc.)? Publication channel for paper using different techniques for OCR. Most prominent technique used by the researcher. Number of relevant research paper in wellknown data sources. We tried to cover in this paper all the areas belonging to OCR, its usage and implementations. Our research found 56 categorized primary studies, we observe that mostly OCR tool designed using neural networks techniques, and most of the time researcher follow solution proposal and validation research type for carrying their research. Mostly academic environment is place where research about OCR is conducted. We believe that findings of this systematic mapping study will help the researcher to know about the different techniques used for OCR and research types (methods) used for exploring these techniques.
  • Journal title
    International journal of Computer Science and Network Solutions(IJCSNS)
  • Serial Year
    2014
  • Journal title
    International journal of Computer Science and Network Solutions(IJCSNS)
  • Record number

    1039114