• DocumentCode
    1776322
  • Title

    Era identification and recognition of Ganga and Hoysala phase Kannada stone inscriptions characters using advance recognition algorithm

  • Author

    Mohana, H.S. ; Rajithkumar, B.K.

  • Author_Institution
    Malnad Coll. of Eng., Hassan Visvesvaraya Technol. Univ., Belgaum, India
  • fYear
    2014
  • fDate
    10-11 July 2014
  • Firstpage
    659
  • Lastpage
    665
  • Abstract
    Kannada language has about 2000 year´s history. Karnataka was ruled by many rulers like Kadambas, Western Ganga Dynasty, Rashtrakuta, Chalukya, Hoysala and Vijayanagara Empire. The inscriptions generally found are on stone or copper plates. The Kannada inscriptions found on historical hero Stone, coin and temple wall, pillar, tablet and rock edict. Analysis of any language with rich heritage and history is very important to understand the life and culture of that period. It is necessary to digitize Stone inscriptions by modern technique. Here in the present work, the images of stone inscription are captured from ordinary digital camera and images are pre-processed to remove noise. In this paper we presented a new approach called Advance Recognition algorithm (ARA) for recognition of characters and era identification of Kannada stone inscriptions belong Ganga and Hoysala period. Here in the present work, the alphabets of Ganga, Hoysala periods are stored in a Template. The character is identified by analyzing its shape and comparing its features that distinguish each character. Mean value and sum of absolute difference value analysis technique is implemented in matching the characters. Experimental results shows, it demonstrates relatively high accuracy in recognizing both stone inscriptions of Ganga and Hoysala period. Also it has demonstrated better time efficiency when compared to previous methods.
  • Keywords
    character recognition; history; image matching; natural languages; shape recognition; Ganga period; Hoysala period; Hoysala phase Kannada stone inscription; Kannada language; advance recognition algorithm; copper plates; culture; era identification; mean value analysis; sum of absolute difference value analysis; Character recognition; Databases; Digital cameras; Image edge detection; Image reconstruction; Instruments; Advance Recognition algorithm (ARA); Mean value coefficient; Sum of absolute difference value coefficient;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Instrumentation, Communication and Computational Technologies (ICCICCT), 2014 International Conference on
  • Conference_Location
    Kanyakumari
  • Print_ISBN
    978-1-4799-4191-9
  • Type

    conf

  • DOI
    10.1109/ICCICCT.2014.6993043
  • Filename
    6993043