Vehicle number plate recognition using hybrid mathematical morphological techniques

Authors:
Humayun Karim Sulehria;Ye Zhang;Danish Irfan;Atif Karim Sulehria
Affiliations:
School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, PR China;School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, PR China;School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, PR China;School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, PR China
Venue:
SIP'08 Proceedings of the 7th WSEAS International Conference on Signal Processing
Year:
2008

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Vehicle number plate recognition using mathematical morphology and neural networks

WSEAS Transactions on Computers

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Abstract

This paper presents a method for recognition of the vehicle number plate from the image using hybrid mathematical morphology techniques. The main theme is to use different morphological operations in such a way so that the number plate of the vehicle can be identified accurately. The method makes the extraction of the plate independent of color, size and location of number plate. The proposed approach can be divided into different processes, which are, image enhancement, morphing transformation, morphological gradient, combination of resultant images and extracting the number plate from the objects that are left in the image. Then segmentation is applied to recognize the plate using neural network. This algorithm can quickly and correctly recognize the number plate from the vehicle image.