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Bilgisayar Tabanlı Araç Plaka Tanıma Sistemi

Computer Based Vehicle Plate Recognition System

Journal Name:

  • Bilişim Teknolojileri Dergisi

Publication Year:

  • 2008

Key Words:

Keywords (Original Language):

Author NameUniversity of Author
Abstract (2. Language): 
In this study, a vehicle plate recognition system is presented. Vehicle plate recognition systems are generally used in speed enforcement, red light enforcement, highway toll collection, park access, etc. The designed system consists of three major processes. These are: Plate area detection process, character segmentation process and character recognition process. The algorithms: edge detection, blob coloring and template matching are used for plate area detection, character segmentation and character recognition respectively. The system was evaluated in an image set of 100 vehicle pictures.
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Abstract (Original Language): 
Bu çalışmada, araç plaka tanıma sistemi gerçekleştirilmiştir. Araç plaka tanıma sistemleri, hız ihlali, kırmızı ışık ihlali, paralı otoyol geçişleri, otopark girişleri vb yerlerde kullanılmaktadır. Tasarlanan plaka tanıma sistemi üç önemli aşamadan oluşmaktadır. Bunlar: plaka bölgesinin bulunması işlemi, karakter ayrıştırma işlemi ve karakter tanıma işlemidir. Plaka bölgesinin bulunması işlemi için kenar bulma algoritmaları, karakter ayrıştırma işlemi için blob coloring algoritması, karakter tanıma işlemi için ise şablon eşleştirme algoritması kullanılmıştır. Sistem 100 ayrı araç resmi işlenerek test edilmiştir.
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REFERENCES

References: 

[1] S. Ozbay, E. Ercelebi, “Automatic Vehicle Identification by Plate
Recognition”, Proceedıngs Of World Academy Of Scıence,
Engıneerıng and Technology, vol.9 pp. 222-225, Nov. 2005.
[2] S. M. Youssef, S. B. AbdelRahman, “A smart access control using
an efficient license plate location and recognition approach”,
Expert Systems with Applications, vol.34, pp. 256–265, 2008
[3] N. Takashi, T. Toshihiko, Y. Keiichi, et al., “Robust licenseplate
recognition method for passing vehicles under outside
environment”, IEEE Transactions on Vehicular Technology, vol.
49, no.6, pp.2309–2319, 2000.
[4] B. Hongliang, L. Changping, “A hybrid license plate extraction
method based on edge statistics and morphology,” in Proc. ICPR,
pp. 831–834, 2004.
[5] X. Shi, W. Zhao, Y. Shen, “Automatic license plate recognition
system based on color image processing,” in Lecture Notes on
Computer Science, O. Gervasi et al., Eds. New York: SpringerVerlag, vol. 3483, pp. 1159–1168, 2005.
[6] P. Comelli, P. Ferragina, M. N. Granieri, F. Stabile, “Optical
recognition of motor vehicle license plates”, IEEE Trans. Veh.
Technol., vol. 44, no. 4, pp. 790–799, Nov. 1995.
[7] N. Zimic, J. Ficzko, M. Mraz, J. Virant, “The fuzzy logic approach
to the car numlber plate locating problem,” in Proc. IIS, pp. 227–
230, 1997.
[8] J. A. G. Nijhuis, M. H. ter Brugge, K. A. Helmholt, J. P. W. Pluim,
L. Spaanenburg, R. S. Venema, and M. A. Westenberg, “Car
license plate recognition with neural networks and fuzzy logic,” in
Proc. IEEE Int. Conf. Neural Netw., vol. 5, pp. 2232–2236, 1995.
[9] F. Kahraman, B. Kurt, M. Gökmen, “License plate character
segmentation based on the gabor transform and vector
quantization,” in Lecture Notes on Computer Science, A. Yazici
and C. Sener, Eds. New York: Springer-Verlag, vol. 2869, pp.
381–388, 2003.
[10] S. Yoshimori, Y. Mitsukura, M. Fukumi, N. Akamatsu, “License
plate detection using hereditary threshold determine method”, in
Lecture Notes in Artificial Intelligence, New York: SpringerVerlag, vol. 2773, pp. 585–593, 2003.
[11] T. D. Duan, T. L. Hong Du, T. V. Phuoc, N. V. Hoang, “Building
an automatic vehicle license plate recognition system”, in Proc. Int.
Conf. Comput. Sci. RIVF, pp. 59–63, 2005.
[12] S. Nomura, K. Yamanaka, O. Katai, H. Kawakami, T. Shiose, “A
novel adaptive morphological approach for degraded character
image segmentation”, Pattern Recognit., vol. 38, no. 11, pp. 1961–
1975, Nov. 2005.
[13] K. K. Kim, K. I. Kim, J. B. Kim, H. J. Kim, “Learning-based
approach, for license plate recognition”, in Proc. IEEE Signal
Process. Soc. Workshop, Neural Netw. Signal Process., vol. 2, pp.
614–623, 2000.
[14] C. N. E. Anagnostopoulos, I. E. Anagnostopoulos, V. Loumos, E.
Kayafas, “A License Plate-Recognition Algorithm for Intelligent
Transportation System Applications”, IEEE Transactıons On
Intelligent Transportation Systems, vol. 7, no 3, pp. 377-392,
2006.
[15] Y. P. Huang, S.-Y. Lai, and W.-P. Chuang, “A template-based
model for license plate recognition,” in Proc. IEEE Int. Conf.
Netw., Sensing and Control, pp. 737–742, 2004.
[16] M. J. Ahmed, M. Sarfraz, A. Zidouri, W.G. Al-Khatib, “License
plate recognition system”, Electronics, Circuits and Systems, 2003.
ICECS 2003. Proceedings of the 2003 10th IEEE International
Conference on, Vol.2, pp. 898- 901, 2003.

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