A multi-font OCR system for printed Telugu text

Abstract

This work describes the design and development of a Telugu Optical Character Recognition system for printed text (TOSP). Pre-processing tasks considered in this paper are: Conversion of a grey scale image to a binary image, image rectification, skew detection and removal, segmentation of text into lines, words and basic symbols. Basic symbols are identified as the fundamental unit of segmentation in this paper which are recognized by the recognizer. The combinations of these basic symbols that together form characters and compound characters of Telugu are also determined to complete the recognition process. The special feature of TOSP is that it is designed to handle multiple sizes and multiple fonts. Further, the output produced by TOSP can directly be opened in any Indian language software that supports transliteration facility into Telugu script and edited. Several such softwares are popular and available.