Peak position recognizing characters in Saudi license plates

In this paper character recognition in Saudi Automobile License Plates is described. Due to special properties of Saudi license plates, simpler procedures as compared to the ones used for Lebanese plates have been developed. A limited character set for recognition enables the development of smaller...

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Bibliographic Details
Published in2011 IEEE GCC Conference and Exhibition (GCC) pp. 186 - 189
Main Authors Almustafa, K M, Zantout, R N, Obeid, H R
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.02.2011
Subjects
ALPR
Character recognition
Humans
Image recognition
Licenses
line processing
Noise
Noise measurement
recognition tree
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Summary:In this paper character recognition in Saudi Automobile License Plates is described. Due to special properties of Saudi license plates, simpler procedures as compared to the ones used for Lebanese plates have been developed. A limited character set for recognition enables the development of smaller recognition trees. The developed procedure was applied to different characters taken from real license plates and the recognition rate was 100% for characters supported by the algorithm. Uniformly distributed pseudo-random noise was added to simulate error in the image. The algorithm was proven to work even in cases in which the characters were extremely degraded by noise.
ISBN:161284118X
9781612841182
DOI:10.1109/IEEEGCC.2011.5752479