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Paper Details

Paper Title
Automatic detection and recognition of vehicle plate numbers using svm
The Automatic license plate reorganization (ALPR) is one of the solutions of such kind of problem. There is a number of methodologies but it is challenging task as some of the factors like high speed of vehicles, languages of number plate & mostly non-uniform letter on number plate effects a lot in recognition. The license plate recognition (LPR) system have many application like payment of parking fees; toll fee on highway; traffic monitoring system; border security system; signal system etc. In this paper, the different method of license plate recognition is discussed. The systems first detects the vehicle and capture the image then the number plate of vehicle is extracted from the image using image Segmentation optical character recognition technique is used for the character recognition. Then the resulting data is compared with the database record so we come up with the License plate number such as is observed that developed system successfully detects & recognizes the vehicle number plate on real image even when the pixel is of low resolution and details. The Automatic Number Plate Recognition (ANPR) was invented in 1976 at the Police Scientific Development Branch in the UK. However, it gained much popularity during the last decade along with the improvement of digital camera and the increase in processing speed. ANPR is an image processing technology which enables to extract vehicle license plate number form digital images. It consists of a camera that has the capability to capture an image, finds the location of the number plate in the image and then extracts the characters using character recognition tool that translate the pixels into alphanumerically readable character or string. ANPR can be used in many areas from speed enforcement and tool collection to management of parking lots, etc. At present, in ANPR there are several techniques used for the recognition plates number such as pattern matching [8], neural network character recognition [1], and image processing technology [2].which are computationally expensive or use artificial neural network which involves complex mathematics.
Others Details
Paper Id : 94689
Author Name : B.AISHWARYA
Volume/Issue No : Volume 05 Issue 06
Page No : 180-185
DOI Number : DOI:10.21090/IJAERD.94689
License : This work is licensed under a Creative Commons Attribution 4.0 International License.
website :
Impact Factor : 5.71, SJIF-2017
ISSN Details : eISSN: 2348-4470, pISSN:2348-6406
Evden Eve Nakliyat