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...