Referenced Items are not available for this document.
In this paper, we propose a method to compose a classifier by non-linear discriminant analysis using kernel method combined with kernel feature selection for holistic recognition of historical hand-written string. Through experiments using historical hand-written string database HCD2, we show that our approach can obtain high recognition accuracy comparable to that of individual character recognition
Published in:
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
(Volume:2
)
Date of Conference: 0-0 0
- Page(s):
- 1094 - 1097
- ISSN :
- 1051-4651
- Print ISBN:
- 0-7695-2521-0
- INSPEC Accession Number:
- 9164166
- Conference Location :
- Hong Kong
- Digital Object Identifier :
- 10.1109/ICPR.2006.629
- Product Type:
- Conference Publications
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