Title: "REVIEW ON OFFLINE HANDWRITTEN ENGLISH CAPITAL LETTERS RECOGNITION USING ARTIFICIAL NEURAL NETWORK AND LITERATURE "
         

Page(s): 30 - 34
Authors: Mr.H.E.Khodke,Prof.S.Lomte,Prof.R.Auti,Mrs.Neha-KhatriValmik,Seema Singh

Abstract

Abstract— Handwriting English capital letters recognition is a challenging problem researchers had been research into this area for so long especially in the recent years. In our study there are many fields concern with numbers, for example, checks in banks or recognizing numbers in car plates, the subject of digit recognition appears. A system for recognizing isolated digits may be as an approach for dealing with such application. In other words, to let the computer understand the English capital letters that is written manually by users and views them according to the computer process. Scientists and engineers with interests in image processing and pattern recognition have developed various approaches to deal with handwriting English capital letters recognition problems such as, minimum distance, decision tree and statistics. English capital letters recognition plays an important role in the modern world. It can solve more complex problems and makes humans' job easier. An example is handwritten English capital letters recognition. This is a system widely used in the world to recognize zip code or postal code for mail sorting. There are different techniques that can be used to recognize handwritten English capital letters. Two techniques researched in this paper are Pattern Recognition and Artificial Neural Network (ANN). Both techniques are defined and different methods for each technique is also discussed. Bayesian Decision theory, Nearest Neighbor rule, and Linear Classification or Discrimination is types of methods for Pattern Recognition. Shape recognition, Chinese Character and Handwritten English capital letters recognition uses Neural Network to recognize them. .

Keywords— Introduction, Related Work, Neural Network, proposed system.