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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 -
 
James A. Pittman, Microsoft
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, Aug. 2007, doi:10.1109/MC.2007.314
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