Car plate recognition by whole 2-D image

Authors:
Ching-Liang Su
Affiliations:
Department of Industrial Engineering and Technology Management, Da Yeh University, 112 ShanJiau Road, DaTsuen, Changhua 51505, Taiwan
Venue:
Expert Systems with Applications: An International Journal
Year:
2011

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Abstract

This study did not extract the characters in the car plate separately. Instead, a whole 2-D car plate was processed as an entity; subsequently, it was recognized. In this study a ring-to-line mapping technique is used to map a car plate image to several straight-line signals. Moreover, the vector magnitude invariant transform technique is used to transfer a car plate signal to an invariant vector magnitude for comparison, a procedure that can solve the image-rotation problem. Various vertical magnitude strips are generated to manage the image-shifting problem. The algorithm developed in this study can precisely identify car plate images.