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Character Recognition using Dynamic Windows
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 41 - Number 15 |
| Year of Publication: 2012 |
| Authors: Mithun Biswas, Ranjan Parekh |
10.5120/5620-7912
|
Mithun Biswas, Ranjan Parekh . Character Recognition using Dynamic Windows. International Journal of Computer Applications. 41, 15 ( March 2012), 47-52. DOI=10.5120/5620-7912
Abstract
This paper proposes a scheme for recognition of English characters based on features derived from partitioning the character image into non-overlapping cells. A dynamic sliding window moves over each cell and pixel counts obtained from the image portion within the boundaries of the window, contribute towards generation of the feature vector. A total of four passes of the window over the image each with a different window size leads to the generation of a 30-element feature vector. A neural network (multi-layered perceptron) is used for classifying the 26 alphabets of the English language. Accuracies obtained are demonstrated to have been improved upon with respect to contemporary works.
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