A Script Recognizer Independent Bi-lingual Character Recognition System for Printed English and Kannada Documents
نویسنده
چکیده
Department of Computer Science Amrita Vishwa Vidyapeetham, Mysore Campus Bogadi, Mysore INDIA _____________________________________________________________________________________ Abstract: Recognition of text document images is the inclination of any optical character recognition systems. This paper aims at extending the functionality of optical character recognition system to recognize more than one language. At present optical character recognition technologies are able to recognize and translate only one language, however multi-lingual recognition capabilities for OCR are accomplished through incorporation of script recognizer. This paper eliminates the need of identifying the script type and achieves the automatic recognition of two different scripts with single optical character recognition system, which we are representing as bilingual OCR. Bilingual OCR recognizes the text document images composed of both English and Kannada scripts. The construction of bilingual OCR for English and Kannada is achieved by employing efficient constructs like multiple projection profiles, connected component analysis and principal component analysis. The devised system is proved to be effective and reliable by claiming around 95%-100% accuracy.
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