Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
An efficient text input method for pen-based computers
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Quikwriting: continuous stylus-based text entry
Proceedings of the 11th annual ACM symposium on User interface software and technology
Dictionary Supported Generation of English Text from Pitman Shorthand Scripted Phonetic Text
LEC '02 Proceedings of the Language Engineering Conference (LEC'02)
Segmentation and Recognition of Vocalized Outlines in Pitman Shorthand
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Evaluation of Feature Sets in the Post Processing of Handwritten Pitman's Shorthand
IWFHR '04 Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition
Hi-index | 0.00 |
In this paper, we introduce a new approach to the computer transcription of handwritten Pitman shorthand as a rapid means of text entry (up to 100 words per minute) into today's handheld devices, almost at the rate of speech. It is different from previous applications of the same framework from two aspects: – firstly, a novel idea of using geometric attributes other than phonetic attributes in the abstraction of a phonetic Pitman's shorthand lexicon is proposed. Secondly, a Bayesian network representation for the organisation of shorthand-outline models is introduced, in which natural variability of Pitman shorthand is defined via different nodes and links. Using a probabilistic Bayesian network, the system shows a noticeable robustness not only in transcribing a variety of genuine handwriting, but also in estimating missing vowel components that may have been omitted in speed writing. The accuracy of the new approach (92.86%) is a considerable improvement over previous applications.