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
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