Title :
A cellular neural network based character recognition system
Author :
Casali, Daniele ; Costantini, Giovanni ; Carota, Massimo
Author_Institution :
Dept. of Electron. Eng., Univ. of Rome "Tor Vergata", Italy
fDate :
28 Aug.-2 Sept. 2005
Abstract :
In this paper we present a character recognition system based on cellular neural networks. As a consequence, we deal with a real-time system. All considered features can be extracted by CNN templates; recognition is merely feature-based, with no need of a learning phase or any kind of memory.
Keywords :
cellular neural nets; character recognition; feature extraction; real-time systems; CNN templates; cellular neural network; character recognition system; feature extraction; feature-based recognition; real-time system; Cellular neural networks; Character recognition; Electronic mail; Feature extraction; Image recognition; Optical character recognition software; Optical computing; Optical distortion; Prototypes; Real time systems;
Conference_Titel :
Circuit Theory and Design, 2005. Proceedings of the 2005 European Conference on
Print_ISBN :
0-7803-9066-0
DOI :
10.1109/ECCTD.2005.1523086
