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Fourth International Conference Document Analysis and Recognition (ICDAR'97)
Words Recognition using Associative Memory
Ulm, GERMANY
August 18-August 20
ISBN: 0-8186-7898-4
ASCII Text
x 
 
Loris Navoni, Roberto Canegallo, Mauro Chinosi, Giovanni Gozzini, Alan Kramer, Pier Luigi Rolandi, "Words Recognition using Associative Memory," Document Analysis and Recognition, International Conference on, pp. 97, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997.
 
 
BibTex
x
 
@article{ 10.1109/ICDAR.1997.619821,
author = {Loris Navoni and Roberto Canegallo and Mauro Chinosi and Giovanni Gozzini and Alan Kramer and Pier Luigi Rolandi},
title = {Words Recognition using Associative Memory},
journal ={Document Analysis and Recognition, International Conference on},
volume = {0},
year = {1997},
isbn = {0-8186-7898-4},
pages = {97},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.1997.619821},
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 - Words Recognition using Associative Memory
SN - 0-8186-7898-4
SP
EP
A1 - Loris Navoni,
A1 - Roberto Canegallo,
A1 - Mauro Chinosi,
A1 - Giovanni Gozzini,
A1 - Alan Kramer,
A1 - Pier Luigi Rolandi,
PY - 1997
VL - 0
JA - Document Analysis and Recognition, International Conference on
ER -
 
Loris Navoni, SGS-Thomson Microelectronics
Roberto Canegallo, SGS-Thomson Microelectronics
Mauro Chinosi, SGS-Thomson Microelectronics
Giovanni Gozzini, SGS-Thomson Microelectronics
Alan Kramer, SGS-Thomson Microelectronics
Pier Luigi Rolandi, SGS-Thomson Microelectronics
This paper introduce the application of an Analog Associative Memory Chip to the Words Recognition , a fundamental topic of the Text Recognition process. The Word Recognition subject take advantage of statistical evaluation about the behavior of the Optical Character Recognition System preceding it . Those statistical information lead the creation of a coding that is used to store a Lexicon of the most used words in the Chip. An input pattern is matched against the full database of the Associative Memory , and a set of closest pattern is returned. Precision reached by this operation ranges from 93% to 99 % . Those encouraging results demonstrate the general attitude of the Chip to solve classes of problems that need the use of an Associative Memory.
Citation:
Loris Navoni, Roberto Canegallo, Mauro Chinosi, Giovanni Gozzini, Alan Kramer, Pier Luigi Rolandi, "Words Recognition using Associative Memory," icdar, pp.97, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997
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