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Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2
Building Compact MQDF Classifier for Off-line Handwritten Chinese Characters by Subspace Distribution Sharing
Curitiba, Parana, Brazil
September 23-September 26
ISBN: 0-7695-2822-8
Teng Long, South China University of Technology, Guangzhou 510641, P.R. China
Lian-Wen Jin, South China University of Technology, Guangzhou 510641, P.R. China

Quadratic classifier with modified quadratic discriminant function (MQDF) has been successfully applied to recognition of handwritten characters to achieve very good performance. However, for large category classification problem such as Chinese character recognition, the storage of the parameters for the MQDF classifier is huge which makes it not practical to be used in hand-held devices.

In this paper, we propose a method to build a compact MQDF classifier for handwritten Chinese characters. We use subspace distribution sharing to form a codebook for the subspaces of the MQDF classifier?s parameters. Further more, we employ a two-level Euclidean distance classifier to accelerate the recognition process. Fast recognition speed and compact dictionary size make the high accuracy quadratic classifier be practical for hand-held devices.

Citation:
Teng Long, Lian-Wen Jin, "Building Compact MQDF Classifier for Off-line Handwritten Chinese Characters by Subspace Distribution Sharing," icdar, vol. 2, pp.909-913, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 2, 2007
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