A Survey of Techniques for License Plate Detection and Recognition

Athul Suresh Nair*, Sabitha Raju**, K. J. Harikrishnan***, Akhil Mathew****
*,***-**** UG Scholar, Department of Computer Science and Engineering, Viswajyothi College of Engineering and Technology, Vazhakulam, Kerala, India.
** Assistant Professor, Department of Computer Science and Engineering, Viswajyothi College of Engineering and Technology, Vazhakulam, Kerala, India.
Periodicity:January - March'2018
DOI : https://doi.org/10.26634/jip.5.1.13984


This paper aims to comprehensively map out developments in Image Processing and Machine Vision and their implementation in the application of License Plate Recognition. This paper examines the implementation of new technologies in both the plate detection, and number identification aspects of the process. The paper appreciates the advancements made in the methodology for the application, and underlines the resulting accuracy and finesse of the system. All methods considered are from papers published 2010 onwards.


Image Processing, Genetic Algorithms, Edge Detection, Template Matching, Noise Removal.

How to Cite this Article?

Nair, A.S., Raju,S., Harikrishnan,K.J., and Mathew,A. (2018). Survey of Techniques For License Plate Detection and Recognition. i-manager’s Journal on Image Processing, 5(1), 25-32. https://doi.org/10.26634/jip.5.1.13984


[1]. Automatic License Plate Recognition (n.d). License Plate Recognition Applications, Retrievd from http://www.platerecognition.info/index.htm
[2]. Badr, A., Abdelwahab, M. M., Thabet, A. M., & Abdelsadek, A. M. (2011). Automatic number plate recognition system. Annals of the University of Craiova- Mathematics and Computer Science Series, 38(1), 62- 71.
[3]. Chengqun, Q. (2013). Design of Automobile License Plate Recognition System Based on MATLAB and Fuzzy PID. In Measuring Technology and Mechatronics Automation (ICMTMA), 2013 Fifth International Conference on (pp. 438-441). IEEE.
[4]. Chhabra, S., Jain, H., & Saini, S. (2016). FPGA based hardware implementation of automatic vehicle license plate detection system. In Advances in Computing, Communications and Informatics (ICACCI), 2016 International Conference on (pp. 1181-1187). IEEE.
[5]. Choudhury, A., & Negi, A. (2016). A new zone based algorithm for detection of license plate from Indian vehicle. In Parallel, Distributed and Grid Computing (PDGC), 2016 Fourth International Conference on (pp. 370-374). IEEE.
[6]. Davis, A. M., & Arunvinodh, C. (2015). Automatic license plate detection using vertical edge detection method. In Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on (pp. 1-6). IEEE.
[7]. Davix, X. A., Christopher, C. S., & Christine, S. S. (2017). License plate detection using channel scale space and color based detection method. In Circuits and Systems (ICCS), 2017 IEEE International Conference on (pp. 82-86). IEEE.
[8]. Elbamby, A., Hemayed, E. E., Helal, D., & Rehan, M. (2016). Real-time automatic multi-style license plate detection in videos. In Computer Engineering th Conference (ICENCO), 2016 12 International (pp. 148- 153). IEEE.
[9]. Farooq, U., Marrakchi, Z., & Mehrez, H. (2012). FPGA architectures: An overview. In Tree-based Heterogeneous FPGA Architectures (pp. 7-48). Springer, New York, NY.
[10]. Kim, S. G., Jeon, H. G., & Koo, H. I. (2017). Deeplearning- based license plate detection method using vehicle region extraction. Electronics Letters, 53(15), 1034-1036.
[11]. Mayan, J. A., Deep, K. A., Kumar, M., Alvin, L., & Reddy, S. P. (2016). Number plate recognition using template comparison for various fonts in MATLAB. In Computational Intelligence and Computing Research (ICCIC), 2016 IEEE International Conference on (pp. 1-6). IEEE.
[12]. Palekar, R. R., Parab, S. U., Parikh, D. P., & Kamble, V. N. (2017). Real time license plate detection using OpenCV and tesseract. In Communication and Signal Processing (ICCSP), 2017 International Conference on (pp. 2111-2115). IEEE.
[13]. Parasuraman, K., & Kumar, P. V. (2010). An efficient method for indian vehicle license plate extraction and character segmentation. In IEEE International Conference on Computational Intelligence and Computing Research (Vol. 18), pp.1-4.
[14]. Paris, S., Kornprobst, P., Tumblin, J., & Durand, F. (2007). A gentle introduction to bilateral filtering and its applications. In ACM SIGGRAPH 2007 (p. 1). ACM.
[15]. Prakash, A. R., Jagannath, M., Adalarasu, K., & Babu, G. M. (2017). Vehicle license plate detection and recognition using non-blind image de-blurring algorithm. In Nextgen Electronic Technologies: Silicon to Software (ICNETS2), 2017 International Conference on (pp. 46-49). IEEE.
[16]. Qi, L., Dong, J., Liu, Y., Duan, Y., & Zhang, C. (2008). Removing color stain on vehicle license plates based on Photometric Stereo and a Hole-Filling Algorithm. In Image and Signal Processing, 2008. CISP'08. Congress on (Vol. 3, pp. 394-397). IEEE.
[17]. Rashid, A. E. (2013). A fast algorithm for license plate detection. In Signal Processing Image Processing & Pattern Recognition (ICSIPR), 2013 International Conference on (pp. 44-48). IEEE.
[18]. Soojey, D., Kamat, S., Patil, V., Patil, M., & Patil, P. (2015). Use of horizontal and vertical edge processing technique to improve number plate detection. IJRET: International Journal of Research in Engineering and Technology, 5(12), 286-292.
[19]. Subha, and Sudha. (2014). An efficient way of detecting a numbers in car license plate using Genetic Algorithms. International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2, 17-22.
[20]. Tesseract-ocr. (2017). Tesseract-Ocr/Tesseract. GitHub. Retrieved from https://github.com/tesseractocr/ tesseract
[21]. YUV Colorspace. (n.d). Retrieved from http://softpixel.com/~cwright/programming/colorspace /yuv/
[22]. Yang, R., Yin, H., & Chen, X. (2015). License plate detection based on Sparse Auto-Encoder. In th Computational Intelligence and Design (ISCID), 2015 8 International Symposium on (Vol. 2, pp. 465-469). IEEE.
[23]. Yang, S. Y., Lu, Y. C., Chen, L. Y., & Cherng, D. C. (2011). Hardware-Accelerated Vehicle License Plate Detection at High-Definition Image. In Robot, Vision and Signal Processing (RVSP), 2011 First International Conference on (pp. 106-109). IEEE.
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