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