Journal
2014 6TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMMUNICATION NETWORKS
Volume -, Issue -, Pages 257-261Publisher
IEEE
DOI: 10.1109/CICN.2014.66
Keywords
Holistic word recognition; handwritten words; Elliptical features; Bangla script
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In the present work, a holistic word recognition technique is proposed for the recognition of the handwritten Bangla words. Holistic word recognition technique assumes a word as a single and indivisible entity and extracts features from the entire word to recognize it. In this work, a set of elliptical features is extracted from handwritten word images to represent them in the feature space. Then, a comparison among 5 well known classifiers is carried out in terms of their accuracies to select the suitable classifier for evaluating the present work. Based on that, finally, a neural network based classifier is chosen for the recognition task. Using the elliptical features, the proposed system provides a satisfactory result on a small dataset.
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