Vehicle Number Plate Recognition System
Keywords:
Vehicle Number Plate, Recognition (ANPR), Character Segmentation, Image SegmentationAbstract
Vehicle number plate recognition plays a significant role in many areas. In this paper, an efficient and an amazingly simple method is used to recognize the number plate. In the proposed method, OpenCV library along with python language is used for image processing using py tesseract. The input image is taken and converted into a grayscale image and the processed image is filtered through a bilateral filter to remove unwanted characters. In this paper, the Canny edge detection method is used to detect the edges of license plates. TESSERACT is used as an Optical Character Recognition (OCR).
References
Paper by J.M Mossi, L Sanchis, and A. Albiol, "The Detection of the Parked Vehicles Using the Spatiotemporal Maps," The IEEE Transactions on the Intelligent Transportation Systems, vol.12, no.4, pp. 1277-1291, 2011.
Anton SatriaPrabuwono and Ariff Idris, "A Study of Car Park Control System Using Optical Character Recognition," in International Conference on Computer and Electrical Engineering, 2008, pp. 866-870.
Shiqiu Liu, Yiyu He,Zhenyu Xu, YifanZhu, and Han Huang, "The Chinese-style Plate Recognition Based on the Artificial Neural Network and Statistics,” The Procedia Engineering, vol. 15, pp. 3556-3561, 2011.
Kumar, Ravi, et al. "Reverse Engineering A Generic Software Exploration Environment Is Made Of Object Oriented Frame Work And Set Of Customizable Tools." International Journal of Advanced Research in Computer Science 2.5 (2011).
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