Abstract
Segmentation of characters is a major step in the OCR system, and recognition accuracy will highly depend on good segmentation. The segmentation in Devanagari script is more cumbersome than Latin script because of the presence of a large character set which includes modifiers, compound characters, complex connected characters, and shirorekha. Shirorekha creates the major problem in Devanagari character segmentation, and it reduces segmentation accuracy as compared to Latin script. This paper gives a comparative study on various segmentation techniques used for Devanagari script and finds an efficient approach from these techniques.
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Sonkusare, M., Gupta, R., Moghe, A. (2021). A Review on Character Segmentation Approach for Devanagari Script. In: Sheth, A., Sinhal, A., Shrivastava, A., Pandey, A.K. (eds) Intelligent Systems. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-2248-9_19
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DOI: https://doi.org/10.1007/978-981-16-2248-9_19
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