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ISCAS
2003
IEEE

Hybrid neural network architecture for age identification of ancient Kannada scripts

9 years 8 months ago
Hybrid neural network architecture for age identification of ancient Kannada scripts
Wide research has been carried out and is still taking place in the field of character recognition of handwritten English characters. Recognizing English characters is much simpler as there are only 26 letters and each letter is quite distinct from others compared to recognition of Indian language characters. Indian language characters have a base character along with vowels attached, forming single characters (raw characters). Origin of Kannada, a language of southern India, is as old as 5th century AD. The fonts have evolved over the centuries. The work involved is implemented in two phases. The first phase of the work incorporates an Artificial Neural Network for identifying the base character. The second phase consists of a Probabilistic Neural Network model designed for the identification of age pertaining to the base character. Characters dated from 3rd century BC to the present day are used for analysis and experimental results.
Harish K. Kashyap, Bansilal, P. Arun Koushik
Added 04 Jul 2010
Updated 04 Jul 2010
Type Conference
Year 2003
Where ISCAS
Authors Harish K. Kashyap, Bansilal, P. Arun Koushik
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