TEXT RECOGNITION
International Research Journal of Modernization in Engineering Technology and Science · 2022
The Optical Character Recognition (OCR) is one of the automatic identification techniques that fulfil 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.Recognition of text from images is an important process in the present scenario.Nowadays there is a great surge in storing the information found in the paper document in digital format.This helps in preserving the information, easy storage and also permits retrieval of information as and when required.The various stages of text recognition are: pre-processing, segmentation, feature extraction, classification and post processing.The pre-processing step involves a number of operations the most significant being converting colour image into a binary image thus separating the text from the background.Text recognition is of utmost importance in several applications.This paper discusses the text recognition module and also presents the various applications of text recognition from images.Related work is also examined in this paper.