Algoritmik kaynaşım yöntemiyle plaka tanıma sistemlerinin performansının artırılması
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Tarih
2011
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info:eu-repo/semantics/closedAccess
Özet
Bu bildiride, bilgisayarlı görü ve örüntü tanıma alanlarında çok önemli bir yeri olan plaka tanıma sistemlerinin performansını artırmak amacıyla algoritmik kaynaşım yöntemini önermekteyiz. Plaka tanıma sistemleri genellikle plakanın yerinin saptanması, karakter bölütleme ve karakter tanıma şeklinde uç kısımdan oluşur. Karakter bölütleme ve tanıma, görüntü işleme ve örüntü tanıma alanlarında yoğun bir şekilde çalışılmış ve bu problemlerin çözümünde gürbüz sistemler tasarlanmıştır. Ancak plaka tanıma sistemlerinin en temel problemi plaka yerinin tam piksel hassasiyetle saptanmasıdır. Plaka yerinin saptanması için bir önceki çalışmamızda yatay tarama yöntemini önermiştik. Bu bildiride çift satırlı plakaları da okuyabilen dörtgen saptamaya dayalı farklı bir algoritma geliştirdik. Plaka yerinin saptanmasını gürbüz hale getirebilmek için iki farklı algoritmanın başarımlarını algoritmik kaynaşım çatısı ile birleştiren yeni bir yaklaşım sunmaktayız. Gerçekleştirilen benzetimlerde önerilen algoritmik kaynaşım yöntemi ile plaka tanıma sisteminin performansında önemli artışlar gözlemlenmiştir.
In this paper, we propose an algorithmic fusion approach for performance improvement of the license plate recognition (LPR) systems which is a very important research topic in computer vision and pattern recognition areas. Basically the building blocks of LPR system is composed of locating the LP, character segmentation and character recognition stages. Character segmentation and recognition phases are well studied in the fields of image processing and pattern recognition and very robust solutions were proposed in the literature. However, the most important problem of the LPR systems is locating the pixel precise position of the LP inside the image. In our previous work, we proposed a horizontal scan method to locate the LP. In this paper, we propose a square detection based LP locating algorithm which also locates the two lined LPs. In order to design a robust stage for the locating plate block, we present a new approach that combines the dexterity of the two different LPR locating algorithms within algorithmic fusion framework. According to our experiments, we observe that the overall performance of the LPR system is increased by the proposed algorithmic fusion method.
In this paper, we propose an algorithmic fusion approach for performance improvement of the license plate recognition (LPR) systems which is a very important research topic in computer vision and pattern recognition areas. Basically the building blocks of LPR system is composed of locating the LP, character segmentation and character recognition stages. Character segmentation and recognition phases are well studied in the fields of image processing and pattern recognition and very robust solutions were proposed in the literature. However, the most important problem of the LPR systems is locating the pixel precise position of the LP inside the image. In our previous work, we proposed a horizontal scan method to locate the LP. In this paper, we propose a square detection based LP locating algorithm which also locates the two lined LPs. In order to design a robust stage for the locating plate block, we present a new approach that combines the dexterity of the two different LPR locating algorithms within algorithmic fusion framework. According to our experiments, we observe that the overall performance of the LPR system is increased by the proposed algorithmic fusion method.
Açıklama
Anahtar Kelimeler
Algorithm design and analysis, Algorithmic fusion approach, Algorithms, Building blockes, Character recognition, Character segmentation, Computer vision, Conferences, Fusion methods, Horizontal scan, Image fusion, Image processing, Image recognition, Image segmentation, License plate recognition system, License plate recognition systems, License plates (automobile), Licenses, Locating algorithm, LPR system, Object detection, Optical character recognition, Pattern recognition, Pattern recognition systems, Performance improvement, Performance improvements, Pixel precise position location, Plate location, Precise position, Research topics, Robust solutions, Robustness, Signal processing, Square detection based LP locating algorithm, Traffic engineering computing
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Künye
Tamer, E. & Çizmeci, B. (2011). Performance improvement of the license plate recognition systems with algorithmic fusion approach. Paper presented at the 1020-1023. doi:10.1109/SIU.2011.5929827
