Title :
License-plate localization by using vector quantization
Author :
Rovetta, Stefano ; Zunino, Rodolfo
Author_Institution :
Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy
Abstract :
The paper describes a novel approach using vector quantization (VQ) to process vehicle images for automated identification. The VQ-based method yields superior quality in picture compression for archival purposes, and, at the same time, supports the localization of text regions in the image effectively. As opposed to standard approaches, VQ encoding gives some hint about the contents of image regions; such information is exploited to boost localization performance. The VQ system may be trained empirically from examples; this provides adaptiveness and on-field tuning facility. The approach has been tested in a real application and included satisfactorily into a complete system for vehicle identification
Keywords :
image coding; image recognition; road vehicles; vector quantisation; VQ encoding; VQ-based method; adaptiveness; archive; automated identification; license-plate localization; localization performance; on-field tuning facility; picture compression; text regions; vector quantization; vehicle images; Distortion measurement; Image coding; Image representation; Image storage; Optical character recognition software; Optical filters; Signal processing algorithms; System testing; Vector quantization; Vehicles;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.759939