Handwritten numerical recognition based on multiple algorithms
Pattern Recognition
A Complete OCR for Printed Hindi Text in Devanagari Script
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
A Comparison of Standard Spell Checking Algorithms and a Novel Binary Neural Approach
IEEE Transactions on Knowledge and Data Engineering
Guide to OCR for Indic Scripts: Document Recognition and Retrieval
Guide to OCR for Indic Scripts: Document Recognition and Retrieval
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
An approach for Bangla and Devanagari video text recognition
Proceedings of the 4th International Workshop on Multilingual OCR
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This paper refers to the development of an OCR for the Assamese language by modifying an existing OCR for the Bangla language. This modification is feasible because the Assamese script is similar, except for a few characters, to the Bangla script. The OCR incorporates a two stage recognizer using SVM classifier with no post-processing. A spell-checker capable of detecting most errors and interactively recommending some corrections is implemented. The OCR is tested with about 1800 pages of good quality printed documents. The accuracy achieved is about 97%.