• Title of article

    The optical character recognition of Urdu-like cursive scripts

  • Author/Authors

    Naz، نويسنده , , Saeeda and Hayat، نويسنده , , Khizar and Imran Razzak، نويسنده , , Muhammad and Waqas Anwar، نويسنده , , Muhammad and Madani، نويسنده , , Sajjad A. and Khan، نويسنده , , Samee U.، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2014
  • Pages
    20
  • From page
    1229
  • To page
    1248
  • Abstract
    We survey the optical character recognition (OCR) literature with reference to the Urdu-like cursive scripts. In particular, the Urdu, Pushto, and Sindhi languages are discussed, with the emphasis being on the Nastaʹliq and Naskh scripts. Before detaining the OCR works, the peculiarities of the Urdu-like scripts are outlined, which are followed by the presentation of the available text image databases. For the sake of clarity, the various attempts are grouped into three parts, namely: (a) printed, (b) handwritten, and (c) online character recognition. Within each part, the works are analyzed par rapport a typical OCR pipeline with an emphasis on the preprocessing, segmentation, feature extraction, classification, and recognition.
  • Keywords
    Optical character recognition , character , Ligature
  • Journal title
    PATTERN RECOGNITION
  • Serial Year
    2014
  • Journal title
    PATTERN RECOGNITION
  • Record number

    1736059