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Handwriting Recognition: Tablet PC Text Input
September 2007 (vol. 40 no. 9)
pp. 49-54
| ASCII Text | x | ||
| James A. Pittman, "Handwriting Recognition: Tablet PC Text Input," Computer, vol. 40, no. 9, pp. 49-54, September, 2007. | |||
| BibTex | x | ||
| @article{ 10.1109/MC.2007.314, author = {James A. Pittman}, title = {Handwriting Recognition: Tablet PC Text Input}, journal ={Computer}, volume = {40}, number = {9}, issn = {0018-9162}, year = {2007}, pages = {49-54}, doi = {http://doi.ieeecomputersociety.org/10.1109/MC.2007.314}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - Computer TI - Handwriting Recognition: Tablet PC Text Input IS - 9 SN - 0018-9162 SP49 EP54 EPD - 49-54 A1 - James A. Pittman, PY - 2007 KW - Tablet PCs KW - handwriting recognition KW - neural networks KW - computers in education VL - 40 JA - Computer ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MC.2007.314
To support a wide range of writing styles and poorly formed cursive script, the Tablet PC input panel uses a time-delay neural network working with a lexicon. High-end versions of Microsoft's Vista now include Tablet PC software, with an improved recognizer that supports both personalization and error reporting.
Index Terms:
Tablet PCs, handwriting recognition, neural networks, computers in education
Citation:
James A. Pittman, "Handwriting Recognition: Tablet PC Text Input," Computer, vol. 40, no. 9, pp. 49-54, Sept. 2007, doi:10.1109/MC.2007.314
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