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First International Workshop on Document Image Analysis for Libraries (DIAL'04)
Construction of Handwriting Databases Using Transcript-Based Mapping
Palo Alto, California
January 23-January 24
ISBN: 0-7695-2088-X
ASCII Text
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Bin Zhang, Catalin Tomai, Sargur Srihari, Venu Govindaraju, "Construction of Handwriting Databases Using Transcript-Based Mapping," Document Image Analysis for Libraries, International Workshop on, pp. 288, First International Workshop on Document Image Analysis for Libraries (DIAL'04), 2004.
 
 
BibTex
x
 
@article{ 10.1109/DIAL.2004.1263257,
author = {Bin Zhang and Catalin Tomai and Sargur Srihari and Venu Govindaraju},
title = {Construction of Handwriting Databases Using Transcript-Based Mapping},
journal ={Document Image Analysis for Libraries, International Workshop on},
volume = {0},
year = {2004},
isbn = {0-7695-2088-X},
pages = {288},
doi = {http://doi.ieeecomputersociety.org/10.1109/DIAL.2004.1263257},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Document Image Analysis for Libraries, International Workshop on
TI - Construction of Handwriting Databases Using Transcript-Based Mapping
SN - 0-7695-2088-X
SP
EP
A1 - Bin Zhang,
A1 - Catalin Tomai,
A1 - Sargur Srihari,
A1 - Venu Govindaraju,
PY - 2004
KW - null
VL - 0
JA - Document Image Analysis for Libraries, International Workshop on
ER -
 
Bin Zhang, University of California at Los Angeles
Catalin Tomai, State University of New York at Buffalo
Sargur Srihari, State University of New York at Buffalo
Venu Govindaraju, State University of New York at Buffalo
A recognition-based system was developed for constructing handwriting databases. The system automatically recognizes the word and the character images in handwritten document images by applying a transcript mapping algorithm. The transcript-mapping process is modeled as an optimization problem involving multiple word-segmentation hypotheses, word recognition and word alignment. The extensive experiments show that a large number of character and word images can be automatically extracted with very high reliability.
Citation:
Bin Zhang, Catalin Tomai, Sargur Srihari, Venu Govindaraju, "Construction of Handwriting Databases Using Transcript-Based Mapping," dial, pp.288, First International Workshop on Document Image Analysis for Libraries (DIAL'04), 2004
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