Authors:
ArbabWaseem Abbas,Khalid Saeed,Safdar Nawaz Khan Marwat,Sahibzada AbdurRehmanAbid,Muhammad Akbar Ali Khan,Sadiq Shah,DOI NO:
https://doi.org/10.26782/jmcms.2019.06.00034Keywords:
Edge Detection Operators, License Plate Localization,Boundary Line Based Extraction.,Abstract
The research conducted in this paper proposes the digital image processing approach for localization of license plate from entire image of vehicle with different angles and evaluation of the best edge detection operator in extraction of license plate. The license plate localization has vast applications in system automation, recognition and security. In this research, firstly database is developed by capturing/collecting images of 50 vehicle with different angles. Secondly in proposed technique, different edge detection operators i.e. Sobel, Roberts, Prewitt and Canny have been applied in boundary line based extraction. Thirdly results are evaluated, which showed that in proposed model Sobel operator outperforms other edge detection operators in localization of license plate and revealed the experimental results of Sobel 90%, Prewitt 85%, Roberts 40% and Canny 10% for 50images.Refference:
I.Ahmad, W., Hassan, S. A., Irfan, M. A., Bais, A., Hassan, G. M., Shah, S. A. A., &Yahya, K. M. (2010, October). Design and implementation of real time LPR system on a fixed point DSP.In Emerging Technologies (ICET),
2010 6th International Conference on (pp. 159-163).IEEE.
II.B. V. Kakani, D. Gandhi and S. Jani, 2017 “Improved OCR based automatic vehicle number plate recognition using features trained neural network,” 8th International Conference on Computing, Communication
and Networking Technologies (ICCCNT), Delhi, 2017, pp. 1-6.
III.Chang, S. L., Chen, L. S., Chung, Y. C., & Chen, S. W. (2004). Automatic license plate recognition. IEEE transactions on intelligent transportation systems, 5(1), 42-53..
IV. Dandu, B. R., & Chopra, A. (2012). Vehicular number plate recognition
using edge detection and characteristic analysis of national number plates.
Int. J. Comput. Eng. Res, 2(3), 795-799..
V.H. Kawasnicka and B. Wawrzyniak, “License Plate Localization and Recognition in Camera Pictures”, AIMETH 2002, Poland, November 2002.
VI.iying, C., Shunhua, W., Luhong, M., &Xianren, H. (2007). Design of an analog front end for passive UHF RFID transponder IC.CHINESE JOURNAL OF SEMICONDUCTORS-CHINESE EDITION-, 28(5), 686.
VII.Maini, R., &Aggarwal, H. (2009). Study and comparison of various image edge detection techniques. International journal of image processing (IJIP), 3(1), 1-11.
VIII.MITTAL, ARUN, and SUKHWINDER SINGH. “REVIEW OF LICENSE PLATE RECOGNITION (LPR) USING EDGE DETECTION.”International Journal of Computer Science Engineering and Information Technology Research (IJCSEITR) ISSN(P): 2249-6831;ISSN(E): 2249-7943 Vol. 4, Issue 2, Apr 2014, 197-204.
IX. Ruiz, L. A., Fdez-Sarría, A., &Recio, J. A. (2004, June). Texture feature extraction for classification of remote sensing data using wavelet decomposition: a comparative study. In 20th ISPRS Congress
(Vol. 35,No. part B, pp. 1109-1114).
X.Saha, S., Basu, S., Nasipuri, M., &Basu, D. K. (2009). License Plate localization from vehicle images: An edge based multi-stage approach.International Journal of Recent Trends in Engineering, 1(1), 284-289.
XI.Shrivakshan, G. T., &Chandrasekar, C. (2012). A comparison of various edge detection techniques used in image processing. IJCSI International Journal of Computer Science Issues, 9(5), 272-276.
XII.Tarabek, P. (2012, September). A Real-Time License Plate Localization Method Based on Vertical Edge Analysis. In FedCSIS (pp. 149-154).
XIII.VIT, P. (2016). Comparison of Various Edge Detection Technique.2016.
XIV.Yu, L. (2012). Research on edge detection in license plate recognition. In Second Int. Conf. Computer Application and System Modeling, Paris,France (pp. 1139-1142).