Recognition of Printed Urdu Script

This paper deals with an Optical Character Recognition system for printed Urdu, a popular Indian script. The development of OCR for this script is difficult because (i) a large number of characters have to be recognized (ii) there are many similar shaped characters. In the proposed system individual characters are recognized using a combination of topological, contour and water reservoir concept based features. The feature detection methods are simple and robust. A prototype of the system has been tested on printed Urdu characters and currently achieves 97.8% character level accuracy on average.

• Type: Conference
• Year: 2003
• Where: ICDAR
• Authors: U. Pal, Anirban Sarkar
• Keywords: Document Analysis, ICDAR 2003, Optical Character Recognition, Popular Indian Script, Similar Shaped Characters