• DocumentCode
    618365
  • Title

    Devnagari handwritten character recognition (DHCR) for ancient documents: A review

  • Author

    Shah, Kunal Ravindra ; Badgujar, Dipak Dattatray

  • Author_Institution
    Sinhgad Inst. of Technol., Lonavala, India
  • fYear
    2013
  • fDate
    11-12 April 2013
  • Firstpage
    656
  • Lastpage
    660
  • Abstract
    The field of character recognition has attracted more concentration of researchers for recognizing text from ancient documents. But because of some of the problems like error in recognition in text lines, overlapped characters, joined text line, ages, damage in text lines it is becoming more challenging for them to recognize the text. However, Most of devnagari handwritten ancient documents are not available for all, because of their delicate condition. The purpose of recognizing such document is to preserve and retrieve ancient knowledge from ancient manuscripts. So here we are giving review of some of the methods for detection of characters easily with less error in retrieved text.
  • Keywords
    handwritten character recognition; information retrieval; natural language processing; text analysis; DHCR; Devnagari handwritten character recognition; ancient document; ancient knowledge preservation; ancient knowledge retrieval; ancient manuscript; character detection; text recognition; text retrieval; Character recognition; Conferences; Feature extraction; Layout; Noise; Optical character recognition software; Text recognition; Ancient Documents; DBSCAN; Devnagari Handwritten Character Recognition; DoG; Historical Manuscripts; OCR; Pattern Recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information & Communication Technologies (ICT), 2013 IEEE Conference on
  • Conference_Location
    JeJu Island
  • Print_ISBN
    978-1-4673-5759-3
  • Type

    conf

  • DOI
    10.1109/CICT.2013.6558176
  • Filename
    6558176