HANDWRITTEN TEXT CONTENT CLASSIFICATION SYSTEM USING ANDROID

Abstract: Character Recognition is a technology that enables to convert different types of documents, such as scanned paper documents into editable data. The ability to understand these inputs varies in each person according to many factors. OCR is a technology that functions like human ability of reading. Although OCR is not able to compete with human reading capabilities, it can convert the content from the image files. Automatic text recognition aims at limiting these errors by using image preprocessing techniques that bring increased speed and precision to the entire recognition process. In the proposed system, the written content is converted into text content using the pattern recognition system and the same is stored in file. The proposed method uses the Learning based Spatio-Temporal Algorithm to extract the written contents. The primary objective of this system is to written content recognition system and to create the android based mobile application to save the handwriting in to text file. Robust data capture solutions handle multiple document formats and can be used with both electronic and paper documents, eliminating paper and reducing manual identification and data entry of document content into other systems. Cite: Dr.V. Suganthi, Vasanth.S,"HANDWRITTEN TEXT CONTENT CLASSIFICATION SYSTEM USING ANDROID", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 3, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.133146.