Recognition of Formatted Text using Machine Learning Technique
Rakshana J. Shetty, Nithin Kumar Heraje · American Journal of Intelligent Systems · 2017
Character recognition plays an important role in extracting the required text from a document. It is vital in many areas like banking and health services where the extraction of some of the details of the customers and patients saves the time, like extracting the bank details or the medical condition of the patients etc. Keeping this vital role of in mind this system is implemented. The main aim is to recognize the printed characters in a given input image and extracting it. It is the process in which the characters are detected and recognized from an image. Optical character recognition for the formatted English text is done. The Machine Learning technique is used where the system is initially trained for all the alphabets and numbers of the English language along with the desired output. Finally the accuracy of the system is plotted according to the output obtained.