Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Precise Candidate Selection for Large Character Set Recognition by Confidence Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Global Shape Normalization for Handwritten Chinese Character Recognition: A New Method
IWFHR '04 Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Pattern recognition using discriminative feature extraction
IEEE Transactions on Signal Processing
Camera-based Kanji OCR for Mobile-phones: Practical Issues
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
International Journal of Applied Mathematics and Computer Science
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
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In this paper, we propose an approach to building compact classifier for camera-based printed japanese recognition on mobile phones. We design feature vector prototypes using learning vector quantization(LV Q) for achieving high accuracy, while the complexity is lowered by the line ar dimensionality reduction. The descriminative feature extraction(DFE) strategy, which optimizes both subspace axes and classifier parameters, is shown to yield high classification accuracy even on low dimensional subspace. On a 120D subspace, a 4,344-class classifier consumes only 613KB storage, and an accuracy of 99.41% was obtained on test set.