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Eighth International Conference on Document Analysis and Recognition (ICDAR'05)
A Synthetic Database to Assess Segmentation Algorithms
Seoul, Korea
August 31-September 01
ISBN: 0-7695-2420-6
ASCII Text
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Luiz S. Oliveira, Alceu S. Jr. Britto, Robert Sabourin, "A Synthetic Database to Assess Segmentation Algorithms," Document Analysis and Recognition, International Conference on, pp. 207-211, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005.
 
 
BibTex
x
 
@article{ 10.1109/ICDAR.2005.35,
author = {Luiz S. Oliveira and Alceu S. Jr. Britto and Robert Sabourin},
title = {A Synthetic Database to Assess Segmentation Algorithms},
journal ={Document Analysis and Recognition, International Conference on},
volume = {0},
year = {2005},
issn = {1520-5263},
pages = {207-211},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2005.35},
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 - A Synthetic Database to Assess Segmentation Algorithms
SN - 1520-5263
SP207
EP211
A1 - Luiz S. Oliveira,
A1 - Alceu S. Jr. Britto,
A1 - Robert Sabourin,
PY - 2005
KW - Handwriting Recognition
KW - Segmentation
KW - Synthetic Data.
VL - 0
JA - Document Analysis and Recognition, International Conference on
ER -
 
Luiz S. Oliveira, Pontificia Universidade Catolica do Parana, Curitiba, Brazil
Alceu S. Jr. Britto, Pontificia Universidade Catolica do Parana, Curitiba, Brazil
Robert Sabourin, Pontificia Universidade Catolica do Parana, Curitiba, Brazil
In this paper we describe a synthetic database composed of 273,452 handwritten touching digits pairs to assess segmentation algorithms. It contains several different kinds of touching and it was generated by connecting 2,000 images of isolated digits extracted from the NIST SD19. In order to get a better insight on the proposed database and establish some parameters for further comparisons, we carried out experiments using four state-of-the-art segmentation algorithms.
Index Terms:
Handwriting Recognition, Segmentation, Synthetic Data.
Citation:
Luiz S. Oliveira, Alceu S. Jr. Britto, Robert Sabourin, "A Synthetic Database to Assess Segmentation Algorithms," icdar, pp.207-211, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005
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