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- W2158605771 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." @default.
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- W2158605771 date "2012-03-31" @default.
- W2158605771 modified "2023-09-26" @default.
- W2158605771 title "Character Recognition using Dynamic Windows" @default.
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- W2158605771 doi "https://doi.org/10.5120/5620-7912" @default.
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