Abstract
Character recognition is an important stage of any text recognition system. In Optical Character Recognition (OCR) system, the presence of half characters decreases the recognition rate. Due to touching of half character with full characters, the determination of presence of half character is very challenging task. In this paper, we have proposed new algorithm based on structural properties of text to segment the half characters in handwritten Hindi text. The results are shown for both handwritten Hindi text as well as for printed Hindi text. The proposed algorithm achieves the segmentation accuracy as 83.02% for half characters in handwritten text and 87.5% in printed text.
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Garg, N.K., Kaur, L., Jindal, M.K. (2011). The Segmentation of Half Characters in Handwritten Hindi Text. In: Singh, C., Singh Lehal, G., Sengupta, J., Sharma, D.V., Goyal, V. (eds) Information Systems for Indian Languages. ICISIL 2011. Communications in Computer and Information Science, vol 139. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19403-0_8
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DOI: https://doi.org/10.1007/978-3-642-19403-0_8
Publisher Name: Springer, Berlin, Heidelberg
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