Title :
Malaysia car plate recognition based on RBF Neural Network and Particle Swarm Optimization
Author :
Maruzuki, M.I.F. ; Ishak, S.N. ; Setumin, S.
Author_Institution :
Fac. of Electr. Eng., Univ. Teknol. MARA, Permatang Pauh, Malaysia
Abstract :
Performance of a car plate recognition system can be improved by using the combination of RBF Neural Network and Particle Swarm Optimization. In our proposal, PSO is used to optimize the parameters for RBF Neural Network. The results from this paper shows that the combination of these two methods provides better recognition rate with reduce time.
Keywords :
automobiles; image recognition; particle swarm optimisation; radial basis function networks; Malaysia car plate recognition; PSO; RBF neural network; RBFNN; particle swarm optimization; radial basis function neural network; Particle Swarm Optimization; RBF Neural Network; car plate recognition;
Conference_Titel :
Control System, Computing and Engineering (ICCSCE), 2012 IEEE International Conference on
Conference_Location :
Penang
Print_ISBN :
978-1-4673-3142-5
DOI :
10.1109/ICCSCE.2012.6487199
