Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Reject Management in a Handwriting Recognition System
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Dictionary Supported Generation of English Text from Pitman Shorthand Scripted Phonetic Text
LEC '02 Proceedings of the Language Engineering Conference (LEC'02)
Improved Bayesian Learning of Hidden Markov Models for Speaker Adaptation
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 2 - Volume 2
Generative Models and Bayesian Model Comparison for Shape Recognition
IWFHR '04 Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition
Rejection Strategies for Handwritten Word Recognition
IWFHR '04 Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition
Video-based face recognition using adaptive hidden markov models
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
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This paper presents a detailed view of a novel solution to the computer transcription of handwritten Pitman's shorthand as a means of rapid text entry (up to 100 words per minute) into today's handheld devices with the use of a Bayesian network representation. Detailed design considerations of Bayesian network based shorthand outline models, including hypothesis of missing vowel components occurring in speed writing and unclear thickness and length of electrical pen-strokes are presented, along with graphical examples. Although Pitman's shorthand is written phonetically, our outline models are also based on low-level geometric attributes rather than phonetic attributes with the intention of coping with the unique features of handwritten Pitman's shorthand. The experimental results indicate an average accuracy of 92.86%, which is a marked improvement over previous applications of the same framework.