A Bilingual OCR for Hindi-Telugu Documents and its Applications

This paper describes the character recognition process from printed documents containing Hindi and Telugu text. Hindi and Telugu are among the most popular languages in India. The bilingual recognizer is based on Principal Component Analysis followed by support vector classification. This attains an overall accuracy of approximately 96.7%. Extensive experimentation is carried out on an independent test set of approximately 200000 characters. Applications based on this OCR are sketched.

• Type: Conference
• Year: 2003
• Where: ICDAR
• Authors: C. V. Jawahar, M. N. S. S. K. Pavan Kumar, S. S. Ravi Kiran
• Keywords: Character Recognition Process, Document Analysis, Documents Containing Hindi, ICDAR 2003, Telugu