17th International Conference on Pattern Recognition (ICPR'04) - Volume 2 Self-Supervised Writer Adaptation using Perceptive Concepts : Application to On-Line Text Recognition Cambridge UK August 23-August 26 ISBN: 0-7695-2128-2
We recently designed a hand-printed text recognizer. The system is based on three set of experts respectively used to segment, classify and validate the text (with a French lexicon : 200K words). We present in this communication writer adaptation methods. The first is supervised by the user. The others are self-supervised strategies which compare classification hypothesis with lexical hypothesis and modify consequently classifier parameters. The last method increases the system accuracy and the classification speed. Experiments are presented on a large database of 90 texts (5400 words) written by 54 different writers and good recognition rates (82%) have been obtained.
Citation:
Lo?c Oudot, Lionel Prevost, Alvaro Moises, Maurice Milgram, "Self-Supervised Writer Adaptation using Perceptive Concepts : Application to On-Line Text Recognition," icpr, vol. 2, pp.598-601, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 2, 2004 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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