Title :
Hybrid neural network architecture for age identification of ancient Kannada scripts
Author :
Kashyap, K. Harish ; Bansilal ; Koushik, P. Arun
Author_Institution :
Dept. of Electr. & Electron., Nat. Inst. of Eng., Mysore, India
Abstract :
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.
Keywords :
handwritten character recognition; neural nets; Artificial Neural Network; Indian language characters; Probabilistic Neural Network model; age identification; ancient Kannada scripts; base character; character recognition; fonts; hybrid neural network architecture; Artificial neural networks; Bayesian methods; Character recognition; Handwriting recognition; Image converters; Mathematical model; Natural languages; Neural networks; Pattern recognition; Speech recognition;
Conference_Titel :
Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on
Print_ISBN :
0-7803-7761-3
DOI :
10.1109/ISCAS.2003.1206399