Modified Quadratic Discriminant Functions and the Application to Chinese Character Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Handwritten numerical recognition based on multiple algorithms
Pattern Recognition
Probabilistic Visual Learning for Object Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
IWFHR '02 Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR'02)
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
An improved handwritten Chinese character recognition system using support vector machine
Pattern Recognition Letters - Special issue: Artificial neural networks in pattern recognition
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02
Discriminative learning quadratic discriminant function for handwriting recognition
IEEE Transactions on Neural Networks
Orthogonal Quadratic Discriminant Functions for Face Recognition
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
International Journal of Applied Mathematics and Computer Science
Unsupervised language model adaptation for handwritten Chinese text recognition
Pattern Recognition
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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 usually too large to make it practical to be embedded in the memory limited hand-held devices. In this paper, we aim at building a compact and high accuracy MQDF classifier for these embedded systems. A method by combining linear discriminant analysis and subspace distribution sharing is proposed to greatly compress the storage of the MQDF classifier from 76.4 to 2.06MB, while the recognition accuracy still remains above 97%, with only 0.88% accuracy loss. Furthermore, a two-level minimum distance classifier is employed to accelerate the recognition process. Fast recognition speed and compact dictionary size make the high accuracy quadratic classifier become practical for hand-held devices.