1. Maximization of mutual information for offline Thai handwriting recognition.
- Author
-
Nopsuwanchai R, Biem A, and Clocksin WF
- Subjects
- Computer Simulation, Documentation methods, Image Enhancement methods, Likelihood Functions, Models, Statistical, Online Systems, Thailand, Algorithms, Artificial Intelligence, Electronic Data Processing methods, Handwriting, Image Interpretation, Computer-Assisted methods, Information Storage and Retrieval methods, Pattern Recognition, Automated methods
- Abstract
This paper aims to improve the performance of an HMM-based offline Thai handwriting recognition system through discriminative training and the use of fine-tuned feature extraction methods. The discriminative training is implemented by maximizing the mutual information between the data and their classes. The feature extraction is based on our proposed block-based PCA and composite images, shown to be better at discriminating Thai confusable characters. We demonstrate significant improvements in recognition accuracies compared to the classifiers that are not discriminatively optimized.
- Published
- 2006
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