Modified Quadratic Discriminant Functions and the Application to Chinese Character Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fundamentals of speech recognition
Fundamentals of speech recognition
A Lexicon Driven Approach to Handwritten Word Recognition for Real-Time Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fuzzy Model Based Recognition of Handwritten Hindi Characters
DICTA '07 Proceedings of the 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications
ICIT '08 Proceedings of the 2008 International Conference on Information Technology
A Segmentation Based Approach to Offline Handwritten Devanagari Word Recognition
ICIT '08 Proceedings of the 2008 International Conference on Information Technology
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
Recognition of off-line handwritten devnagari characters using quadratic classifier
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
Offline Recognition of Devanagari Script: A Survey
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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This paper discusses the Hindi offline handwritten word recognizer (HWR) that we are developing. For the purpose of training and testing the offline HWR, we have created a Hindi handwritten word and character database from 100 writers. In our HWR we use two-pass Dynamic Programming algorithm to match the test word against each word in the lexicon by initially segmenting the test word image into probable characters. We extract directional element features (DEF) on each character image segment and statistically model them. Currently we are achieving word recognition accuracies of 91.23% to 79.94% on 10 to 30 vocabulary words.