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Accuracy Improvement for Handwritten Japanese Word Recognition by Combination of Character and Word Recognizer
Seoul, Korea August 31-September 01
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.2005.41Eighth International Conference on Do ...
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Yoshinobu Hotta, Hiroaki Takebe, Misako Suwa, Satoshi Naoi, "Accuracy Improvement for Handwritten Japanese Word Recognition by Combination of Character and Word Recognizer," Document Analysis and Recognition, International Conference on, pp. 685-689, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005.
 
 
BibTex
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@article{ 10.1109/ICDAR.2005.41,
author = {Yoshinobu Hotta and Hiroaki Takebe and Misako Suwa and Satoshi Naoi},
title = {Accuracy Improvement for Handwritten Japanese Word Recognition by Combination of Character and Word Recognizer},
journal ={Document Analysis and Recognition, International Conference on},
volume = {0},
year = {2005},
issn = {1520-5263},
pages = {685-689},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2005.41},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Document Analysis and Recognition, International Conference on
TI - Accuracy Improvement for Handwritten Japanese Word Recognition by Combination of Character and Word Recognizer
SN - 1520-5263
SP685
EP689
A1 - Yoshinobu Hotta,
A1 - Hiroaki Takebe,
A1 - Misako Suwa,
A1 - Satoshi Naoi,
PY - 2005
KW - null
VL - 0
JA - Document Analysis and Recognition, International Conference on
ER -
 
Yoshinobu Hotta, Fujitsu Laboratories Ltd., Japan
Hiroaki Takebe, Fujitsu Laboratories Ltd., Japan
Misako Suwa, Fujitsu Laboratories Ltd., Japan
Satoshi Naoi, Fujitsu Laboratories Ltd., Japan
This paper proposes a combination method of character recognizer (CR) and word recognizer (WR) for Japanese handwritten words. CR is composed of character segmentation, isolated character recognition, and postprocessing. On the other hand, WR recognizes word images holistically based on a given word lexicon. These methods have been used as key modules in handwritten address recognition but have not been compared quantitatively up to now. In this paper, CR and WR are first empirically compared with each other using synthesized words generated from character images. Based on the comparison, a combination method is then proposed. Experimental results show that the combination approach can achieve better recognition performance than the other two methods
Citation:
Yoshinobu Hotta, Hiroaki Takebe, Misako Suwa, Satoshi Naoi, "Accuracy Improvement for Handwritten Japanese Word Recognition by Combination of Character and Word Recognizer," icdar, pp.685-689, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005
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