Using moments features from Gabor directional images for Kannada handwriting character recognition
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
A bilingual Gurmukhi-English OCR based on multiple script identifiers and language models
Proceedings of the 4th International Workshop on Multilingual OCR
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An Optical Character Recognition (OCR) system is one of the important research areas in the field of Human- machine interface. This paper presents a bilingual OCR system for printed Kannada and English text. Gabor fil- ter based features are used for separating the Kannada and English words from the bilingual document. Wavelets that have been progressively used in pattern recognition are used in the system to extract the features for classifying both the Kannada and English characters. Multilayer feed for- ward Neural classifiers known for their good generaliza- tion and approximation property have been effectively used in the system for the classification. An overall recognition rate of 90.5% is obtained at character level.