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Sixth International Conference on Document Analysis and Recognition (ICDAR'01)
Smart Sketchpad - An On-line Graphics Recognition System
Seattle, Washington
September 10-September 13
ISBN: 0-7695-1263-1
ASCII Text
x 
 
Liu Wenyin, Wenjie Qian, Rong Xiao, Xiangyu Jin, "Smart Sketchpad - An On-line Graphics Recognition System," Document Analysis and Recognition, International Conference on, pp. 1050, Sixth International Conference on Document Analysis and Recognition (ICDAR'01), 2001.
 
 
BibTex
x
 
@article{ 10.1109/ICDAR.2001.953946,
author = {Liu Wenyin and Wenjie Qian and Rong Xiao and Xiangyu Jin},
title = {Smart Sketchpad - An On-line Graphics Recognition System},
journal ={Document Analysis and Recognition, International Conference on},
volume = {0},
year = {2001},
isbn = {0-7695-1263-1},
pages = {1050},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2001.953946},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Document Analysis and Recognition, International Conference on
TI - Smart Sketchpad - An On-line Graphics Recognition System
SN - 0-7695-1263-1
SP
EP
A1 - Liu Wenyin,
A1 - Wenjie Qian,
A1 - Rong Xiao,
A1 - Xiangyu Jin,
PY - 2001
KW - Graphics recognition
KW - sketch recognition
KW - shape recognition
KW - pen-based user interface
KW - support vector machines (SVMs)
KW - artificial neural network (ANN).
VL - 0
JA - Document Analysis and Recognition, International Conference on
ER -
 
Liu Wenyin, Microsoft Research China
Wenjie Qian, Microsoft Research China
Rong Xiao, Nanjing University
Xiangyu Jin, Nanjing University
Abstract: An on-line graphics recognition system is presented, which provides users a natural, convenient, and efficient way to input rigid and regular shapes or graphic objects (e.g., triangles, rectangles, ellipses, straight line, arrowheads, etc.) by quickly drawing their sketchy shapes in single or multiple strokes. An input sketchy (hand-drawn) shape is immediately converted into the user-intended rigid shape based on the shape similarity and the time constraint of the sketchy line. Three different (rule-based, SVM-based, and ANN-based) approaches have been applied and compared in the system. Experiments and evaluation are also presented, which show good performance of the system.
Index Terms:
Graphics recognition, sketch recognition, shape recognition, pen-based user interface, support vector machines (SVMs), artificial neural network (ANN).
Citation:
Liu Wenyin, Wenjie Qian, Rong Xiao, Xiangyu Jin, "Smart Sketchpad - An On-line Graphics Recognition System," icdar, pp.1050, Sixth International Conference on Document Analysis and Recognition (ICDAR'01), 2001
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