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Author

K. Hemanth

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Open access 2026

A Topological Feature-Based Segmentation for Multi-Touched Handwritten Indic Words: A Case Study on Kannada Scripts

The challenge associated with developing a reliable Optical Character Recognition (OCR) system for the Indic languages, such as Kannada, lies in the complex morphological composition that features round shapes and complex conjuncts called ‘Ottaksharas’. Although deep neural networks are effective in identifying objects...

M. Malini, K. Hemanth · 0 citations
Open access Aug 2026

Topology-Aware Segmentation Methodology for Multi-Touched Handwritten Kannada Characters

This study presents a novel dual-algorithmic method, specifically designed for Kannada characters based on their boundary topology, which significantly outperforms the pre-trained YOLOv11 and the Watershed algorithm, which achieved success rates of 52% and 20%, respectively.

M. Malini, K. Hemanth · 0 citations

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