Published Paper Details:

This paper presents the comprehensive analysis of handwritten character Recognition of MODI script. The conversion of a handwritten character into the machine-readable format is nothing but a Handwritten Character Recognition Process. MODI document is available in many fields like Art, Commerce, Social Studies, Health Care, etc. The handwritten character of MODI script is cursive in nature, because of this reason the difficulties level is increase to identify the correct MODI handwritten characters. This research paper showcases the proposed methodology to analyze the handwritten MODI character from a digital image. This proposed methodology deals with the MODI character within the image and it will be used for MODI script transliteration. The latest research in Handwritten Character Recognition has used different types of method, classifiers, and features to reduce the complexity of recognizing handwritten text. In addition, this research paper analyses the different segmentation techniques of Image Processing, which is useful in character identification and mapping. The current paper is categorized into three sections. In First Section is the Introduction of MODI script, Steps of Second Section is the proposed methodology for MODI character Recognition. And in Third Section the Conclusion based on proposed methodology is mention.