Literature review of Myanmar Optical Character Recognition techniques
Zu Zu Aung, Cho Me Me Maung, Yadana Htun · International journal of advance research, ideas and innovations in technology · 2018
Optical Character Recognition (OCR) is an active research area in the field of pattern recognition due to its application. OCR system converts document images into machine encoded text so that it can be easily accessed and preserved. This system is applied in data processing such as bank cheques, postal address reading, examination question papers, text-to-speech, reading aid for blind, etc. Myanmar OCR system is essential to convert numerous published books, newspapers and journals of Myanmar into editable computer text files. It is a challenge for recognizing Myanmar characters. During the last decades a lot of research has been done in the field of Myanmar optical character recognition (OCR). Myanmar characters recognition is still an open problem for the research community. This paper presents the review of Myanmar OCR system such as pre-processing, feature extraction, classification, post-processing etc. This paper may act as a supportive material for those who wish to know about Myanmar OCR.