A Vehicle License Plate Recognition Using Intensity Variation and Geometric Pattern Vector 


Vol. 9,  No. 3, pp. 369-374, Jun.  2002
10.3745/KIPSTB.2002.9.3.369


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  Abstract

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

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[IEEE Style]

E. J. Lee and Y. S. Suk, "A Vehicle License Plate Recognition Using Intensity Variation and Geometric Pattern Vector," The KIPS Transactions:PartB , vol. 9, no. 3, pp. 369-374, 2002. DOI: 10.3745/KIPSTB.2002.9.3.369.

[ACM Style]

Eung Joo Lee and Young Soo Suk. 2002. A Vehicle License Plate Recognition Using Intensity Variation and Geometric Pattern Vector. The KIPS Transactions:PartB , 9, 3, (2002), 369-374. DOI: 10.3745/KIPSTB.2002.9.3.369.

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