A SFPM METHOD FOR INDIAN AUTOMOBILE RANGE PLATE RECOGNITION

  • Ashok Kumar Shrivastava
Keywords: Gray Image, Segmentation, Image Classification, Fuzzy System, Pattern Matching

Abstract

Automobile range plate recognition is a challenging task in cyber crime. The numbers are stated of being in the automobile range plate, that is different shape and pattern in different countries. In India the automobile range plate uses white as background and black as foreground colour. In this paper we propose a SFPM methodology, first we find out the shape of license plate then enhance the image and calculate the characters of the license plate by using segmentations method. At the end of algorithm we apply fuzzy and pattern matching for character recognition. In our work we use two databases, first database store different-2 alphabet format and second database store a different-2 format of number.

                                     

Downloads

Download data is not yet available.

References

Sourav Roy, Amitava Choudhury, Joydeep Mukherjee.,” An Approach towards Detection of Indian Number Plate from Vehicle” International journal of Innovative Technology & Exploring Engineering(IJITEE)Volume-2, Issue-4, March 2013 .

Shan. Du, Mohamed.Shehata, Wael. Badawy,”Automatic License Plate Recognition (ALPR):A State-of –the-Art Review” IEEE Vol. 23, No.2, June 2013. DOI: https://doi.org/10.1109/TCSVT.2012.2203741

P.Anishiya, Prof. S. Mary Joans, “Number Plate Recognition for Indian Cars Using Morphological Dilation and Erosion with the Aid OfOcrs.” International Conference on Information and Network Technology, Vol.4, 2011.

S. H. Kasaei.,S. M. Kasaei, " Extraction and Recognition of the Vehicle License Plate for Passing Under Outside Environment." IEEE 2011. DOI: https://doi.org/10.1109/EISIC.2011.50

Published
2018-02-28
How to Cite
Shrivastava , A. K. (2018). A SFPM METHOD FOR INDIAN AUTOMOBILE RANGE PLATE RECOGNITION. International Journal of Engineering Technologies and Management Research, 5(2), 35-42. https://doi.org/10.29121/ijetmr.v5.i2.2018.611