Eung Joo Lee

The KIPS Transactions:PartB , Vol. 8, No. 2, pp. 195-200, Apr. 2001
10.3745/KIPSTB.2001.8.2.195,   PDF Download:

Abstract

In this paper, we propose the car license plate extraction and recognition algorithm using intensity variation information and circular pattern vector from the input car image. Generally, difference between character and background is more noticeable in the car license plate region than other regions. And also, car license plate region usually shows the high density values as well as the constant intensity variations. Based on these characteristics, we first extract car license plate region in the input image using intensity variations. Secondly, lightness compensation process is performed on the considerably dark and brightness input images to acquire constant extraction efficiency. In the car license recognition process, we suggest circular pattern vector to extract features which independent on the size, translation, and rotation of input values. In the experimental results, the proposed methods shows better extraction results regardless of environment lighting conditions as well as noise, size, and location of plate. And also, the proposed method reduces computation times which can be provided real-time possibilities.

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