Steps involved in text recognition and recent research in OCR; A study

Abstract

The Optical Character Recognition (OCR) is one of the automatic identification techniques that fulfill the automation needs in various applications. A machine can read the information present in natural scenes or other materials in any form with OCR. The typed and printed character recognition is uncomplicated due to its well-defined size and shape. The handwriting of individuals differs in the above aspects. So, the handwritten OCR system faces complexity to learn this difference to recognize a character. In this paper, we discussed the various stages in text recognition, handwritten OCR systems classification according to the text type, study on Chinese and Arabic text recognition as well as application oriented recent research in OCR.