Multiple Clues for License Plate Detection and Recognition
Identifieur interne : 000707 ( Main/Merge ); précédent : 000706; suivant : 000708Multiple Clues for License Plate Detection and Recognition
Auteurs : Pablo Negri [Argentine] ; Mariano Tepper [Argentine] ; Daniel Acevedo [Argentine] ; Julio Jacobo [Argentine] ; Marta Mejail [Argentine]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2010.
Abstract
Abstract: This paper addresses a license plate detection and recognition (LPR) task on still images of trucks. The main contribution of our LPR system is the fusion of different segmentation algorithms used to improve the license plate detection. We also compare the performance of two kinds of classifiers for optical character recognition (OCR): one based on the a contrario framework using the shape contexts as features and the other based on a SVM classifier using the intensity pixel values as features.
Url:
DOI: 10.1007/978-3-642-16687-7_38
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<front><div type="abstract" xml:lang="en">Abstract: This paper addresses a license plate detection and recognition (LPR) task on still images of trucks. The main contribution of our LPR system is the fusion of different segmentation algorithms used to improve the license plate detection. We also compare the performance of two kinds of classifiers for optical character recognition (OCR): one based on the a contrario framework using the shape contexts as features and the other based on a SVM classifier using the intensity pixel values as features.</div>
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