Myanmar Printed Portable Document Format Recognition and Transformation with Formatting

Abstract

This paper proposed Myanmar Printed Character Recognition with their related format. The system consists of two parts; recognition and formatting. It recognizes for Myanmar Portable Document Format (.pdf) such as font size, font style, alignment and table, and it converts the existing document to Machine Editable Word Document (.doc). Table classification can also be performed for table recognition and formatting. The extraction of text format, paragraph format and table format can be done efficiently. The system is based on MICR (Myanmar Intelligent Character Recognition) which is one kind of ICR (Intelligent Character Recognition). MICR used statistical and semantic information which includes width and height ratio, black stroke counts, number of loops, open directions and histogram value, etc. MICR has become successful in character recognition area recent years. MICR can produce character recognition with high accuracy rate and faster speed. The final decision is made by the voting system. The system use image processing and Matlab programming. General Terms Character recognition and formatting, image processing, ICR Keywords Hough Transformation, Statistical and Semantic, table and paragraph formatting, pali character recognition