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Automatic Recognition and Localization of Saudi License Plates

Automatic Recognition and Localization of Saudi License Plates

Lama Hamandi, Khaled M. Almustafa, Rached N. Zantout, Hasan R. Obeid
Copyright: © 2012 |Pages: 32
ISBN13: 9781466618305|ISBN10: 1466618302|EISBN13: 9781466618312
DOI: 10.4018/978-1-4666-1830-5.ch009
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MLA

Hamandi, Lama, et al. "Automatic Recognition and Localization of Saudi License Plates." Multidisciplinary Computational Intelligence Techniques: Applications in Business, Engineering, and Medicine, edited by Shawkat Ali, et al., IGI Global, 2012, pp. 139-170. https://doi.org/10.4018/978-1-4666-1830-5.ch009

APA

Hamandi, L., Almustafa, K. M., Zantout, R. N., & Obeid, H. R. (2012). Automatic Recognition and Localization of Saudi License Plates. In S. Ali, N. Abbadeni, & M. Batouche (Eds.), Multidisciplinary Computational Intelligence Techniques: Applications in Business, Engineering, and Medicine (pp. 139-170). IGI Global. https://doi.org/10.4018/978-1-4666-1830-5.ch009

Chicago

Hamandi, Lama, et al. "Automatic Recognition and Localization of Saudi License Plates." In Multidisciplinary Computational Intelligence Techniques: Applications in Business, Engineering, and Medicine, edited by Shawkat Ali, Noureddine Abbadeni, and Mohamed Batouche, 139-170. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-1830-5.ch009

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Abstract

In this chapter, localizing Saudi license plates in images and recognizing characters automatically in those plates are described. Three algorithms to recognize English and Arabic characters in Saudi license plates are presented. The three algorithms rely on processing information from lines strategically drawn vertically and horizontally through a character. In most of the cases, all letters and numbers were able to be recognized. Furthermore, two approaches for localization, “object adjacency” and “character recognition,” are described in this chapter. The algorithms were successfully applied to images containing Saudi License plates as shown through the results presented. A hybrid approach is also presented in which vertical alignment was used to aid the recognition phase in correctly recognizing characters. The hybrid method is only applicable to new Saudi license plates since they contain redundant information in both Arabic and English sections.

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