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:: Volume 14, Issue 2 (Vol.14 No.2 2017) ::
Journal of Iranian Association of Electrical and Electronics Engineers 2017, 14(2): 115-125 Back to browse issues page
Dictionary Learning for Car License Plate Detection
V. Abolghasemi Dr. , S. Ferdowsi Dr.
Abstract:   (225 Views)

Car license plate detection has been always a challenging task in the context of traffic control and traffic offenses. In this paper, the problem of license plate detection from gray scale images taken in natural conditions is addressed. Our car plate database consists of images with severe imaging conditions such as low quality images, far distanced cameras, and severe weather conditions. The main proposed idea in this paper, is to learn discriminative dictionaries from plate and non-plate exemplars for the classification task. A well-known dictionary learning algorithm is employed for this purpose. However, initial preprocessing techniques for image enhancement are also applied. The achieved results reveal that sparse representation-based techniques in the proposed method can increase the detection accuracy and improve the previously reported results.

Keywords: Car License Plate Detection, Classification, Sparse Representation, Dictionary Learning, Morphology.
Full-Text [PDF 821 kb]   (124 Downloads)    
Type of Article: Research | Subject: Electronic
Received: 2017/09/4 | Accepted: 2017/09/4 | Published: 2017/09/4
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Abolghasemi V, Ferdowsi S. Dictionary Learning for Car License Plate Detection. Journal of Iranian Association of Electrical and Electronics Engineers. 2017; 14 (2) :115-125
URL: http://jiaeee.com/article-1-394-en.html
Volume 14, Issue 2 (Vol.14 No.2 2017) Back to browse issues page
نشریه مهندسی برق و الکترونیک ایران Journal of Iranian Association of Electrical and Electronics Engineers
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