Character Recognition based on DTW-Radon

Santosh K.C. 1
1 QGAR - Querying Graphics through Analysis and Recognition
LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : The paper presents a method for isolated off-line character recognition using radon features. The key characteristic of the method is to use DTW algorithm to match corresponding pairs of radon histograms at every projecting angle. Thanks to DTW, it avoids compressing feature matrix into a single vector which may miss information. Comparison has been made with the state-of-the-art of shape descriptors over several different character as well as numeral datasets from different scripts.
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Communication dans un congrès
11th International Conference on Document Analysis and Recognition - ICDAR 2011, Sep 2011, Beijing, China. IEEE Computer Society, pp.264-268, 2011, 〈10.1109/ICDAR.2011.61〉
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Dernière modification le : mardi 24 avril 2018 - 13:35:05
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Santosh K.C.. Character Recognition based on DTW-Radon. 11th International Conference on Document Analysis and Recognition - ICDAR 2011, Sep 2011, Beijing, China. IEEE Computer Society, pp.264-268, 2011, 〈10.1109/ICDAR.2011.61〉. 〈inria-00617298〉

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