DocumentCode
296184
Title
Two simple cooperating neural systems for efficient handwritten digit recognition
Author
Autret, Y. ; Thépaut, A.
Author_Institution
Lab. LIMI, Univ. de Bretagne Occidentale, Brest, France
Volume
4
fYear
1995
fDate
Nov/Dec 1995
Firstpage
2175
Abstract
In this paper we focus on “off-line” recognition with unknown scriptor. We only consider isolated digits. We present an approach whose aim is simplicity and performance. Two simple neural solutions are first presented. Their main characteristic is nonneural pretreatment reduced as much as possible. A simple method for integration is then proposed. The method has been evaluated on a database from French postal services (SRTP). This database contains 12000 digits and is kept secret
Keywords
neural nets; optical character recognition; French postal services; SRTP; cooperating neural systems; database; efficient handwritten digit recognition; isolated digits; off-line recognition; unknown scriptor; Biological neural networks; Brain; Data mining; Databases; Feature extraction; Handwriting recognition; Image recognition; Performance evaluation; Postal services; Sorting;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location
Perth, WA
Print_ISBN
0-7803-2768-3
Type
conf
DOI
10.1109/ICNN.1995.489017
Filename
489017
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