OCR systems in language specific environments

Authors:
Palka Jan;Palka Jiri;Navratil Milan
Affiliations:
Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic;Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic;Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic
Venue:
TELE-INFO'11/MINO'11/SIP'11 Proceedings of the 10th WSEAS international conference on Telecommunications and informatics and microelectronics, nanoelectronics, optoelectronics, and WSEAS international conference on Signal processing
Year:
2011

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Fundamentals of digital image processing

Fundamentals of digital image processing
Time-Varying Image Processing and Moving Object Recognition: Proceedings of the 5th International Workshop, Florence, Italy, September 5-6, 1996

Time-Varying Image Processing and Moving Object Recognition: Proceedings of the 5th International Workshop, Florence, Italy, September 5-6, 1996

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Abstract

This paper is focused on describing methods which can be used for improving optical recognition systems. Nowadays optical recognition systems are based on neural networks. These systems have respectable success rate in handwritten recognition. Main problem of these OCRs is in recognition of handwritten text in language specific format. Success rate is affected by specifics of these languages like diacritics etc. The main goal of this work is to discover new ways or solutions of the language specific handwritten text recognition.