Research Paper on Handwritten Character Recognition

Abstract

Handwriting recognition is the capacity of a machine to get and decipher penmanship contribution from numerous sources, for example, paper records, photos, touchscreen gadgets, and so on. Handwriting and automatic character recognition are an emerging area of research and find many applications in banks, offices and industries. The main objective of this project is to design an expert system capable of efficiently recognizing a format character of a particular type using the artificial neural network approach. Use neural signs in the field of literature. Reduced manpower to manually convert ancient literature to digital form. The proposed system served as a guide and work in the character recognition areas. Enrich the digital library with the English language. Neural computing is a relatively new field and therefore design components are less determined than those of different structures. Neural PCs carry out information parallelism. Neural PCs work in a totally extraordinary manner from ordinary PCs. Neural PCs are prepared (not modified) so that, given a specific beginning state (information passage); classify the input data into one of the classes or evolve the original data so as to optimize some desirable property.