Design and development of an efficient model for handwritten modi script recognition

Abstract

Machine simulation of human reading has caught the attention of computer science newlineresearchers since the introduction of digital computers. Character recognition, a branch of newlinepattern recognition and computer vision, is the process of recognizing either printed or newlinehandwritten text from document images and converting it into machine-readable form. newlineCharacter recognition has been successfully implemented for various foreign language scripts like English, Chinese and Latin. In the case of Indian language scripts, the character recognition process is comparatively difficult due to the complex nature of scripts. MODI Script, an ancient Indian script, is the shorthand form of the Devanagari script in which Marathi is written. Though at present, the script is not used officially, it has historical importance. MODI character recognition is a very complex task due to its variations in the writing style of individuals, shape similarity of characters and the absence of word stopping symbol in documents. The advances in various machine learning techniques have greatly contributed to the success of optical character recognition. The proposed work is aimed to explore various machine learning techniques/ methods which can be effectively used in recognizing MODI Script and build a reliable and robust character recognition Model for Handwritten MODI Script.