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arXiv · 1501.05472

Handwritten Devanagari Script Segmentation: A non-linear Fuzzy Approach

Ram Sarkar·Bibhash Sen·Nibaran Das·Subhadip Basu
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Abstract

The paper concentrates on improvement of segmentation accuracy by addressing some of the key challenges of handwritten Devanagari word image segmentation technique. In the present work, we have developed a new feature based approach for identification of Matra pixels from a word image, design of a non-linear fuzzy membership functions for headline estimation and finally design of a non-linear fuzzy functions for identifying segmentation points on the Matra. The segmentation accuracy achieved by the current technique is 94.8%. This shows an improvement of performance by 1.8% over the previous technique [1] on a 300-word dataset, used for the current experiment.

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Ram Sarkar, Bibhash Sen, Nibaran Das, Subhadip Basu. 2015-01-22. Handwritten Devanagari Script Segmentation: A non-linear Fuzzy Approach. https://arxiv.org/abs/1501.05472

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