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A Machine Learning Algorithm for Automatic Number Plate Recognition
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 174 - Number 1 |
| Year of Publication: 2017 |
| Authors: Reshu Kumari, Surya Prakash Sharma |
10.5120/ijca2017915297
|
Reshu Kumari, Surya Prakash Sharma . A Machine Learning Algorithm for Automatic Number Plate Recognition. International Journal of Computer Applications. 174, 1 ( Sep 2017), 6-9. DOI=10.5120/ijca2017915297
Abstract
Identification of cars is a demanding function for surveillance and control systems. People can recognize automobiles through license plates which consist of alphabets and numbers. We can use the uniqueness of a combination of characters in license plates for many purposes. For example, an arrest of a suspect’s vehicle, imposing parking violation fines, and entrance authentication are possible. However, it is a labor intensive job to identify all passing or parked vehicles’ license plates. This paper presents a training based approach for the recognition of vehicle number plate. The whole process has been divided into three stages i.e. capturing the image, plate localization and recognition of digits over the plate. HOG features have been used for the training purpose and Support Vector Machine is employed for the classification purpose yielding in more than 99% accuracy while recognition. The algorithm has been tested over more than 100 images.
References
- Hitesh Rajput et al.,2015, “An Automated Vehicle License Plate Recognition System,” 0018- 9 162 / 15/$31 .00 © IEEE.
- C.N.E. Anagnostopoulos et al.,2006, “A License Plate-Recognition Algorithm for Intelligent Transportation System Applications,” IEEE Trans. Intelligent Transportation Systems, vol. 7, no. 3, pp. 377–392.
- V. Kamat and S. Ganesan, 1997, “An Efficient Implementation of the Hough Transform for Detecting Vehicle License Plates Using DSP’s, Cellular Neural Networks and Their Applications,” Proc. IEEE Int’l Carnahan Conf., pp. 209–218.
- C.A. Rahman, W. Badawy, and A. Radmanesh,2003, “A Real-Time Vehicle’s License Plate Recognition System,” Proc. IEEE Conf. Advanced Video and Signal Based Surveillance (IVSS 03), pp. 163–16.
- L. Xiaojing,1998, Research on Automatic Recognition of Car License Plate, Journal of Nanjing University of Aeronautics and Astronautics 30 (5), 573-576.
- M. N. Granieri, F. Stabile, and P. Comelli,1996 Recognition of Motor Vehicle License Plates in Rear-view Images, In: Jorge L. C. Sanz (Ed.), Image Technology, Advances in Image Processing, Multimedia and Machine Vision, Springer-Verlag, Berlin, pp. 231-252.
- M.-L. Wang et al.,2010, “A Vehicle License Plate Recognition System Based on Spatial/Frequency Domain Filtering and Neural Networks,” Proc. 2nd Int’l Conf. Computational Collective Intelligence: Technologies and Applications (ICCI 10), LNCS 6423, Springer, pp. 63–70.
- W. Wei,2001, “An Automatic Method of Location for Number-Plate Using Color Feature,” Proc. IEEE Int’l Conf. Image Processing (ICIP 01), pp. 782–785.
- H.W. Lim and Y.H. Tay,2010, “Detection of License Plate Characters in Natural Scene with MSER and SIFT Unigram Classifier,” Proc. IEEE Conf. Sustainable Utilization Development Eng. Tech. (CSUDET 10), pp. 95–98.
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