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An Effective Slant Detection and Correction Method Based on the Tilted Rectangle Method for Telugu Manuscript Terms

An Effective Slant Detection and Correction Method Based on the Tilted Rectangle Method for Telugu Manuscript Terms

Vijaya Kumar V., G. Bindu Madhavi, V. Krishna Vakula
Copyright: © 2021 |Volume: 12 |Issue: 4 |Pages: 13
ISSN: 1938-0232|EISSN: 1938-0240|EISBN13: 9781799860150|DOI: 10.4018/IJITPM.2021100103
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MLA

Kumar V., Vijaya, et al. "An Effective Slant Detection and Correction Method Based on the Tilted Rectangle Method for Telugu Manuscript Terms." IJITPM vol.12, no.4 2021: pp.25-37. http://doi.org/10.4018/IJITPM.2021100103

APA

Kumar V., V., Madhavi, G. B., & Vakula, V. K. (2021). An Effective Slant Detection and Correction Method Based on the Tilted Rectangle Method for Telugu Manuscript Terms. International Journal of Information Technology Project Management (IJITPM), 12(4), 25-37. http://doi.org/10.4018/IJITPM.2021100103

Chicago

Kumar V., Vijaya, G. Bindu Madhavi, and V. Krishna Vakula. "An Effective Slant Detection and Correction Method Based on the Tilted Rectangle Method for Telugu Manuscript Terms," International Journal of Information Technology Project Management (IJITPM) 12, no.4: 25-37. http://doi.org/10.4018/IJITPM.2021100103

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Abstract

This paper proposes an efficient method called tilted rectangle (TR) for detecting and correcting of slant angle of the manuscript Telugu words (MTW). Telugu language is one of India's common languages spoken by over 80 million individuals. The complex characters are attached with some extra marks known as “maatras” and “vatthus,” and it is challenging to detect slant angle. The proposed TR method initially performs preprocessing and identifies a connected component within the given Telugu manuscript word. Then, it estimates the slant angle of each connected component by deriving connected slant lines on the boundary of each connected component. After this process, the proposed TR method estimates the entire word's overall slant angle from the average of estimated slant angle and height of all connected components. The correction of the word's slant angle is done in the reverse direction by applying a simple shear transformation. With 1000 manuscript records of three different kinds, the algorithm is tested. Experimental findings indicate the efficacy of the approach proposed.

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