Discriminative Training of the Scanning N-Tuple Classifier-Reference-Cited by-同舟云学术

Discriminative Training of the Scanning N-Tuple Classifier

Published:2003 Issue: Volume: Page:222-229
ISSN:0302-9743
Container-title:Computational Methods in Neural Modeling
language:
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Author:

Lucas Simon M.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-44868-3_29

Reference11 articles.

1. S.M. Lucas and A. Amiri, “Recognition of chain-coded handwritten characters with the scanningn-tuple method”, Electronics Letters, vol. 31, no. 24, pp. 2088–2089, 1995.

2. S.M. Lucas and A. Amiri, “Statistical syntactic methods for high performance ocr”, IEE Proceedings on Vision, Image and Signal Processing, vol. 143, pp. 23–30, (1996).

3. G. Tambouratzis, “Improvingthe clusteringp erformance of the scanningn-tuple method by usingself-sup ervised algorithms to introduce subclasses”, IEEE Transactions on Pattern analysis and Machine Intelligence, vol. 24, pp. 722–733, (2002).

4. S. Hoque, K. Sirlantzis, and M. C. Fairhurst, “Bit plane decomposition and the scanningn-tuple classifier”, Proceedings of International Workshop on Frontiers in Handwriting Recognition (IWFHR-8), pp. 207–212, 2002.

5. E. H. Ratzla., “A scanningn-tuple classifier for online recognition of handwritten digits”, in Proceedings of the Sixth International Conference on Document Analysis and Recognition, pp. 18–22. IEEE, Seattle, WA, (2001).

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