DocumentCode :
1879100
Title :
License plate extraction and recognition of a Thai vehicle based on MSER and BPNN
Author :
Tao Hong ; Gopalakrishnam, Anilkumar Kothalil
Author_Institution :
Fac. of Sci. & Technol., Assumption Univ., Bangkok, Thailand
fYear :
2015
fDate :
28-31 Jan. 2015
Firstpage :
48
Lastpage :
53
Abstract :
The extraction and recognition of a Thai vehicle license plate based on Maximally Stable Extremal Regions (MSER) and Back-Propagation Neural Network (BPNN) is presented. The license plate area is in a maximally stable extremal region of a car image. It can be effectively extracted from MSERs by multiple classifications. The feature extraction of characters from the license plate is based on Zernike moment. The feature is used as a training dataset for the BPNN to recognize the characters. The experimental results indicate that the proposed approach is an effective method for the extraction and recognition of a Thai license plate.
Keywords :
automobiles; backpropagation; character recognition; feature extraction; image classification; neural nets; BPNN; MSER; Thai vehicle license plate extraction; Thai vehicle license plate recognition; Zernike moment; back-propagation neural network; car image; character feature extraction; character recognition; maximally stable extremal regions; multiple classification; Character recognition; Equations; Feature extraction; Image segmentation; Interference; Licenses; Vehicles; BPNN; MSER; Thai license plate recognition; Zernike moment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge and Smart Technology (KST), 2015 7th International Conference on
Conference_Location :
Chonburi
Print_ISBN :
978-1-4799-6048-4
Type :
conf
DOI :
10.1109/KST.2015.7051457
Filename :
7051457
Link To Document :
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