An HMM-Based Threshold Model Approach for Gesture Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Prototype Extraction and Adaptive OCR
IEEE Transactions on Pattern Analysis and Machine Intelligence
Handwritten word-spotting using hidden Markov models and universal vocabularies
Pattern Recognition
Unsupervised writer adaptation of whole-word HMMs with application to word-spotting
Pattern Recognition Letters
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We propose a new method of dynamically synthesizing Korean character image templates and then converting them into P2DHMMs in real-time. This method is more advantageous than whole character HMMs in memory requirement as well as training difficulty.