Handwritten computer program recognition, compilation & execution application

Abstract

Make a computer program that does automatically recognize a handwritten computer program, compile and execution is extremely difficult. The reasons for these are the various types, shapes of handwritten characters of different peoples. This paper provides an accurate handwritten character recognition method, which blend with the image processing and the training for handwritten characters. Further, automatic error correction of handwritten program, compilation and execution of the program, will be discussed in detail throughout the paper. Recognition of handwritten characters has been a research challenged. Handwritten character recognition belongs to the family of optical character recognition performing automatic identification. Among other issues in optical character recognition, handwritten identification, accuracy or the correctness is the main research issues. This research has developed a system for identification of handwritten characters. The solution can identify the handwritten characters with a higher level of accuracy. This solution can deal with any images captured by a digital camera or scanned images of handwritten characters. The algorithm applies on preprocessed image with handwritten characters. The preprocessor has used standard image processing techniques and the trainer is used to train for the specific handwritten characters.