A Comparison of BPNN, RBF, and ENN in Number Plate Recognition

• Main Authors: Chin, Kim On, Teo, Kein Yao, Rayner Alfred, Ag Asri Ag Ibrahim, Wang, Cheng, Tan, Tse Guan
• Format: Conference or Workshop Item
• Language: English; English
• Published: Springer 2016
• Subjects: T Technology (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: https://eprints.ums.edu.my/id/eprint/28932/1/A%20Comparison%20of%20BPNN%2C%20RBF%2C%20and%20ENN%20in%20Number%20Plate%20Recognition%20ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/28932/2/A%20Comparison%20of%20BPNN%2C%20RBF%2C%20and%20ENN%20in%20Number%20Plate%20Recognition%20FULL%20TEXT.pdf; https://eprints.ums.edu.my/id/eprint/28932/; https://link.springer.com/chapter/10.1007/978-981-10-2777-2_4; https://doi.org/10.1063/1.4960933
• Institution: Universiti Malaysia Sabah

In this paper, we discuss a research project that related to autonomous recognition of Malaysia car plates using neural network approaches. This research aims to compare the proposed conventional Back propagation Feed Forward Neural Network (BPNN), Radial Basis Function Network (RBF), and Ensemble N...