Automatic Number Plate Recognition and detection is an image-processing technology. Automatic number plate recognition and detection consists of 4 phases: - Image processing, number plate localization, optical character recognition, development of fare collection application . This paper presents a recognition and detection method in which the car plate image is obtained by the digital cameras and the image is processed to get the number plate information. A image of a car is captured and processed using various algorithm. This system consists of many algorithms. My study mainly focusing on the one fast algorithms i. e. PSO for the localization of number plate.

1. Z. C. Zhang, Y. Y. Tang, "License plate recognition algorithm based on derived kernel," International Conference on Wavelet Analysis and Pattern Recognition IEEE, 2012, pp. 238-243
2. Sourav Roy, Amitava Choudhury, Joydeep Mukherjee, "An Approach towards Detection of Indian Number Plate from Vehicle", International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-2, Issue-4, March 2013.
3. James Blondin. Particle swarm optimization: A tutorial. From site: http://cs. armstrong. edu/saad/csci8100/pso tutorial. Pdf, 2009
4. Huili Han, Runping Han "Method of License plate Location Based on Edge Detection and Color Information", IEEE, 978-1-4577-1701-7/11, 2011, pp1477-1480.
5. J. -B. Kim, "MESR and SVM-based vehicle license plate detection and recognition system," in proceeding 6th international conference hybrid information technology, Daejeon, Korea, 2012, pp. 529-535.
6. W. Wang, "Car license plate detection based on MSER,"in proceeding international Consumer Electronics Communication Network, 2011, pp. 3973-3976.
7. A. E. Zadeh, A. Khazaee, "High Efficient System for Automatic Classification of the Electrocardiogram Beats", Ann Biomed Eng. 2011; 39(3):996-1011.
8. M. Ibrahim and M. Shehata, "Automatic license plate recognition (ALPR): A state-of-art review," IEEE Transaction on Circuits and Systems for Video Technology, Vol. 23, NO. 2, February 2013.
9. M. R. Bai, V. V. Krishna, and J. Sreedevi, "A new morphological approach for noise removal cum edge detection," IJCSI International Journal of Computer Science Issues, Vol. 7, Issue 6, November 2010.
10. Sarbjit Kaur et al, "An Efficient Approach for Number Plate Extraction from Vehicles Image under Image Processing,"in proceeding International Journal of Computer Science and Information Technologies, Vol. 5 (3) , 2014, 2954-2959
11. C. -N. E. Anagnostopoulos, I. E. Anagnostopoulos, I. D. Psorouias, V. Loumos,and E. Kayafas, "License plate recognition from still images and video sequences: A survey, ''IEEE Trans. Intelligent Transportation System,vol. 9, no. 3, pp. 377-391, Sep. 2008.
12. Y. Wen, Y. Lu, J. Yan, Z. Zhou, K. M. V. Deneen, and P. Shi, "An algorithm for license plate recognition applied to intelligent transportation system," IEEE Transportation Intelligence Transportation System,vol. 12, no. 3, pp. 830-845, September 2011.

Number Plate Recognition Number Plate Detection Number Plate Localization Image Processing.