International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 41 - Issue 15 |
Published: March 2012 |
Authors: Mithun Biswas, Ranjan Parekh |
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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
@article{ 10.5120/5620-7912, author = { Mithun Biswas,Ranjan Parekh }, title = { Character Recognition using Dynamic Windows }, journal = { International Journal of Computer Applications }, year = { 2012 }, volume = { 41 }, number = { 15 }, pages = { 47-52 }, doi = { 10.5120/5620-7912 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2012 %A Mithun Biswas %A Ranjan Parekh %T Character Recognition using Dynamic Windows%T %J International Journal of Computer Applications %V 41 %N 15 %P 47-52 %R 10.5120/5620-7912 %I Foundation of Computer Science (FCS), NY, USA
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.