Top down hierarchical histogram based approach for printed Devnagri script charecter isolation

Abstract

According to recent survey, there are at least 550 million people are using Devnagari script for communication. Hindi is one of the language, which is derived from Devnagari script. As it is a national language of India, Hindi Optical Character Recognition (OCR) System has a wide application in areas like post offices, Library automation, License Plate Recognition, Defense organization and many more government sectors. Research on printed and handwritten character recognition has been started before 50 years. Most of the research has been done for European texts. For any character recognition system, essential step is to identify individual character and find features to compare it with the template features. In this paper, we have proposed histogram based hierarchical approach for isolating individual character from the image document. For recognizing the characters, we can use Euclidean distanc, Pearson coefficient, chain code etc. Result shows that our system is quite robust and provides accuracy up to 92% for the charecter isolation. © 2011 Springer-Verlag.