Recognition of Words in Tamil Script Using Neural Network
Journal Title: International Journal of engineering Research and Applications - Year 2017, Vol 7, Issue 3
Abstract
In this paper, word recognition using neural network is proposed. Recognition process is started with the partitioning of document image into lines, words, and characters and then capturing the local features of segmented characters. After classifying the characters, the word image is transferred into unique code based on character code. This code ideally describes any form of word including word with mixed styles and different sizes. Sequence of character codes of the word form input pattern and word code is a target value of the pattern. Neural network is used to train the patterns of the words. Trained network is tested with word patterns and is recognized or unrecognized based on the network error value. Experiments have been conducted with a local database to evaluate the performance of the word recognizing system and obtained good accuracy. This method can be applied for any language word recognition system as the training is based on only unique code of the characters and words belonging to the language.
Authors and Affiliations
M. Karthigaiselvi, T. Kathirvalavakumar
Keywords
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- EP ID EP390884
- DOI 10.9790/9622-0703066270.
- Views 178
- Downloads 0
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