Indian License Plate Detection and Recognition Using Morphological Operation and Template Matching

Authors: W. Devapriya, C. Nelson Kennedy Babu, T. Srihari

Abstract:

Automatic License plate recognition (ALPR) is a technology which recognizes the registration plate or number plate or License plate of a vehicle. In this paper, an Indian vehicle number plate is mined and the characters are predicted in efficient manner. ALPR involves four major technique i) Pre-processing ii) License Plate Location Identification iii) Individual Character Segmentation iv) Character Recognition. The opening phase, named pre-processing helps to remove noises and enhances the quality of the image using the conception of Morphological Operation and Image subtraction. The second phase, the most puzzling stage ascertain the location of license plate using the protocol Canny Edge detection, dilation and erosion. In the third phase, each characters characterized by Connected Component Approach (CCA) and in the ending phase, each segmented characters are conceptualized using cross correlation template matching- a scheme specifically appropriate for fixed format. Major application of ALPR is Tolling collection, Border Control, Parking, Stolen cars, Enforcement, Access Control, Traffic control. The database consists of 500 car images taken under dissimilar lighting condition is used. The efficiency of the system is 97%. Our future focus is Indian Vehicle License Plate Validation (Whether License plate of a vehicle is as per Road transport and highway standard).

Keywords: Automatic License plate recognition, Character recognition, Number plate Recognition, Template matching, morphological operation, canny edge detection.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1338967

References:

[1] VinhDu Mai; Duoqian Miao; Ruizhi Wang; Hongyun Zhang, "An improved method for Vietnam License Plate location," Multimedia Technology (ICMT), 2011 International Conference pp.2942, 2946, 26-28 July 2011.
[2] Shan Du; Ibrahim, M.; Shehata, M.; Badawy, W., "Automatic License Plate Recognition (ALPR): A State-of-the-Art Review," Circuits and Systems for Video Technology, IEEE Transactions on, vol.23, no.2, pp.311,325, Feb. 2013
[3] Chirag Patel, Dipti Shah, Atul Patel, “Automatic Number Plate Recognition System (ANPR): A Survey”, International Journal of Computer Applications Volume 69, No.9, May 2013.
[4] Phalgun Pandya, Mandeep Singh, “Morphology Based Approach to Recognize Number Plates in India”, International Journal of Soft Computing and Engineering Volume-1, Issue-3, July 2011.
[5] Goel, S.; CSC Dept.., IIT Delhi, New Delhi, India; Dabas, S. “Vehicle registration plate recognition system using template matching", Signal Processing and Communication (ICSC), 2013 International Conference on 12-14 Dec. 2013.Page:315 - 318
[6] Ch. Jaya Lakshmi, Dr. A. Jhansi Rani, Dr. K. Sri Ramakrishna, and M. Kanti Kiran, "A Novel Approach for Indian License Recognition System," International Journal of Advanced Engineering Sciences and Technologies, vol. 6, no. 1, pp. 10-14, 2011.
[7] Hui Wu and Bing Li, "License Plate Recognition System," in International Conference on Multimedia Technology (ICMT), 2011, pp. 5425-5427.
[8] Shyang-Lih Chang, Li-Shien Chen, Yun-Chung Chung, and Sei-Wan Chen, "Automatic license plate recognition," IEEE Transactions on Intelligent Transportation Systems, vol. 5, no. 1, pp. 42-53, 2004
[9] R. C. Gonzalez and R. E. Woods, Digital Image Processing. Reading, MA: Addison-Wesley, 1993.
[10] “License Plate Recognition: A Brief Tutorial “Intelligent Transportation Systems Magazine, IEEE Volume: 6 Issue: 1, 2014.
[11] Pratishtha Gupta, G N Purohit, Manisha Rathore “Number Plate Extraction using Template Matching Technique”, International Journal of Computer Applications (0975 – 8887) Volume 88 – No.3, February 2014.
[12] Babu, C.N.K., Siva Subramanian T, Parasuraman, K., “A feature based approach for license plate-recognition of Indian number plates”, Computational Intelligence and Computing Research (ICCIC), 2010 IEEE International Conference on 28-29 Dec. 2010.
[13] Mohammed Ali Qatran “Template Matching Method for Recognition Musnad Characters Based on Correlation Analysis”, ACIT'2011 Proceedings.
[14] P Pandya and M Sing," Morphology based approach to recognize number plates in India," International Journal of Soft Computing and Engineering, Vol-1, Issue-3, pp 107-113, June2011.
[15] Xiaojun Zhai; Sch. of Eng. & Technol., Univ. of Hertfordshire, Hatfield, UK; Benssali, F.; Ramalingam, S. “License plate localisation based on morphological operations, Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on7-10 Dec. 2010
[16] http://morth.nic.in/index2.asp?slid=60&sublinkid= 31&lang=1Ministry of road transport and high ways.