Human Character Recognition by Handwriting using Fuzzy Logic

Handwritten characters recognition is one of the most challenging & burning topic in the field of image processing & pattern recognition. The most prominent problem in handwriting recognition is the vast variation in personal writing styles. There are also a lot of variations within the writing style of person to person. These variations depend on things like the context of the writing, the writing equipment, the writing situation, and the mood of the writer. The writing style may also evolve with time or practice. Thus, the performance of the automatic recognition of handwriting with their behavior heavily depends on how well the different personal writing styles and their variations are modeled with base of fuzzy rules. Moreover this application can be used in image processing & pattern recognition. Proposed system is used to identify human behavior based on the styles of handwriting, digits & signature.