Title :
Car plate recognition by neural networks and image processing
Author :
Parisi, R. ; Di Claudio, E.D. ; Lucarelli, G. ; Orlandi, G.
Author_Institution :
INFOCOM Dept., Rome Univ., Italy
Abstract :
In this paper we describe an experimental system for the recognition of Italian-style car license plates. Images are usually taken from a camera at a toll gate and preprocessed by a fast and robust 1-D DFT scheme to find the plate and character positions. Characters are classified by a multilayer neural network trained by the recently developed BRLS learning algorithm. The same neural network replaces both the traditional feature extractor and the classifier. The percentage of correctly recognized characters reaches the best scores obtained in literature, being highly insensitive to the environment variability, while the architecture appears best suited for parallel implementation on programmable DSP processors
Keywords :
automobiles; character recognition; discrete Fourier transforms; image recognition; learning (artificial intelligence); neural nets; parallel processing; BRLS learning algorithm; Italian-style license plates; camera images; car plate recognition; experimental system; fast 1D DFT scheme; image processing; multilayer neural network; neural network architecture; parallel implementation; programmable DSP processors; toll gate; Cameras; Character recognition; Digital signal processing; Feature extraction; Image processing; Image recognition; Licenses; Multi-layer neural network; Neural networks; Robustness;
Conference_Titel :
Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on
Conference_Location :
Monterey, CA
Print_ISBN :
0-7803-4455-3
DOI :
10.1109/ISCAS.1998.703970
