An Attempt to Recognize Handwritten Tamil Character Using Kohonen SOM

Keywords - Growing Neural Gas, Clustering, PCA (Principal Component Analysis), Artificial Neural Network (ANN), Web Log Clustering Algorithm, Self Organizing Map

Abstract: The Self-Organizing Map (SOM) is an unsupervised neural network algorithm that projects high- dimensional data onto a two-dimensional map.. The projection preserves

The algorithm was applied for about 2500 samples for each of the seven chosen Tamil characters given in table 3 and the percentage of successful recognition varies from 76%

Hybrid approach use MICR (Myanmar Intelligent Character Recognition) and back-propagation neural network. In Hybrid approach, the features of MICR have been used in back-propagation

[6] Weixin Yang, LianwenJin, ZechengXie, ZiyongFeng, “Improved Deep Convolutional Neural Network For Online Handwritten Chinese Character Recognition using

A back propagation neural networks for classification of handwritten devanagari character recognition using wavelet transform is applied to get decomposed images

Paper [5] explains the optical character recognition using neural network for Bangla characters.. The

In this paper, we have proposed multilayer perceptron neural network based offline handwritten English character recognition system to recognize English