HANDWRITTEN CHARACTER RECOGNITION

Handwritten characters are seen everywhere in our day-to-day life. Almost all the things we do involve letters, from writing cheques to notes manually. character recognition is considered as a core diversity of emerging application by using concepts machine learning. It used widely for performing practical applications such reading computerized bank cheques. However, executing system carry out certain types duties not easy and it challenging matter. There huge variability ambiguity strokes person person. Handwriting style an individual also varies time inconsistent. many challenges which have deal with while understanding handwritten text. Poor quality source document/image due degradation over can affect way characters. find solution this This paper illustrates model interprets accurately help data set train model. The main objective ensure effective reliable approaches