Words recognition using associative memory

Author

Navoni, Loris ; Canegallo, Roberto ; Chinosi, Mauro ; Gozzini, Giovanni ; Kramer, Alan ; Rolandi, Pier Luigi

Author_Institution

Central R&D, SGS-Thomson Microelectron., Agrate Brianza, Italy

Volume

1

fYear

1997

fDate

18-20 Aug 1997

Firstpage

97

Abstract

Introduces the application of an analog associative memory chip to word recognition, which is a fundamental topic of the text recognition process. The word recognition method takes advantage of a statistical evaluation of the behavior of the optical character recognition system preceding it. That statistical information leads to 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 patterns is returned. The precision reached by this operation ranges from 93% to 99%. These encouraging results demonstrate the general aptitude of the chip to solve classes of problems that need to use an associative memory

Keywords

content-addressable storage; encoding; neural chips; optical character recognition; statistical analysis; analog associative memory chip; closest patterns; coding; database; input pattern matching; lexicon; most used words; optical character recognition system; precision; statistical evaluation; text recognition process; word recognition; Active appearance model; Associative memory; Character recognition; Concurrent computing; Databases; Microelectronics; Optical character recognition software; Optical noise; Pattern matching; Text recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on

Conference_Location

Ulm

Print_ISBN

0-8186-7898-4

Type

conf

DOI

10.1109/ICDAR.1997.619821

Filename

619821