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Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 1
Dynamic Handwritten Keyword Spotting Based on the NSHP-HMM
Curitiba, Parana, Brazil
September 23-September 26
ISBN: 0-7695-2822-8
ASCII Text
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Ch. Choisy, "Dynamic Handwritten Keyword Spotting Based on the NSHP-HMM," Document Analysis and Recognition, International Conference on, vol. 1, pp. 242-246, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 1, 2007.
 
 
BibTex
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@article{ 10.1109/ICDAR.2007.105,
author = {Ch. Choisy},
title = {Dynamic Handwritten Keyword Spotting Based on the NSHP-HMM},
journal ={Document Analysis and Recognition, International Conference on},
volume = {1},
year = {2007},
issn = {1520-5363},
pages = {242-246},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2007.105},
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 - Dynamic Handwritten Keyword Spotting Based on the NSHP-HMM
SN - 1520-5363
SP242
EP246
A1 - Ch. Choisy,
PY - 2007
VL - 1
JA - Document Analysis and Recognition, International Conference on
ER -
 
Ch. Choisy, ITESOFT - France
This paper presents a keyword spotting system based on the NSHP-HMM. This model allows to dynamically create global word models from letters models, and do not require any writing segmentation. The second section describes our system and its application to a keyword-based handwritten mail sorting task. Next section shows how to divide process- ing time by 4, using a fix-point arithmetic and a dynamic model desactivation approach based on the natural length complexity. First results are encouraging, particulary for a document-level analysis.
Citation:
Ch. Choisy, "Dynamic Handwritten Keyword Spotting Based on the NSHP-HMM," icdar, vol. 1, pp.242-246, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 1, 2007
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