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Fourth International Conference Document Analysis and Recognition (ICDAR'97)
Recovery of temporal information of cursively handwritten words for on-line recognition.
Ulm, GERMANY
August 18-August 20
ISBN: 0-8186-7898-4
ASCII Text
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H. Bunke, R. Ammann, G. Kaufmann, T. M. Ha, M. Schenkel, R. Seiler, F. Eggimann, "Recovery of temporal information of cursively handwritten words for on-line recognition.," Document Analysis and Recognition, International Conference on, pp. 931, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997.
 
 
BibTex
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@article{ 10.1109/ICDAR.1997.620647,
author = {H. Bunke and R. Ammann and G. Kaufmann and T. M. Ha and M. Schenkel and R. Seiler and F. Eggimann},
title = {Recovery of temporal information of cursively handwritten words for on-line recognition.},
journal ={Document Analysis and Recognition, International Conference on},
volume = {0},
year = {1997},
isbn = {0-8186-7898-4},
pages = {931},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.1997.620647},
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 - Recovery of temporal information of cursively handwritten words for on-line recognition.
SN - 0-8186-7898-4
SP
EP
A1 - H. Bunke,
A1 - R. Ammann,
A1 - G. Kaufmann,
A1 - T. M. Ha,
A1 - M. Schenkel,
A1 - R. Seiler,
A1 - F. Eggimann,
PY - 1997
VL - 0
JA - Document Analysis and Recognition, International Conference on
ER -
 
H. Bunke, University Of Berne
R. Ammann, University Of Berne
G. Kaufmann, University Of Berne
T. M. Ha, University Of Berne
M. Schenkel, Swiss Federal Institute of Technology
R. Seiler, Swiss Federal Institute of Technology
F. Eggimann, Swiss Federal Institute of Technology
On-line recognition differs from off-line recognition in that additional information about the drawing order of the strokes is available. This temporal information makes it easier to recognize handwritten texts with an on-line recognition system. In this paper we present a method for the recovery of the stroke order from static handwritten images. The algorithm was tested by classifying the words of an off-line database with a state-of-the-art on-line recognition system. On this database with 150 different words, written by four cooperative writers, a recognition rate of 97.4% was obtained.
Citation:
H. Bunke, R. Ammann, G. Kaufmann, T. M. Ha, M. Schenkel, R. Seiler, F. Eggimann, "Recovery of temporal information of cursively handwritten words for on-line recognition.," icdar, pp.931, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997
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