Paper Details

The Automatic license plate reorganization (ALPR) is one of the solutions of such kind of problem. There is anumber of methodologies but it is challenging task as some of the factors like high speed of vehicles, languages of numberplate & mostly non-uniform letter on number plate effects a lot in recognition. The license plate recognition (LPR) systemhave 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 thevehicle and capture the image then the number plate of vehicle is extracted from the image using image Segmentation opticalcharacter recognition technique is used for the character recognition. Then the resulting data is compared with the databaserecord 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 AutomaticNumber Plate Recognition (ANPR) was invented in 1976 at the Police Scientific Development Branch in the UK. However, itgained much popularity during the last decade along with the improvement of digital camera and the increase in processingspeed. ANPR is an image processing technology which enables to extract vehicle license plate number form digital images. Itconsists of a camera that has the capability to capture an image, finds the location of the number plate in the image and thenextracts the characters using character recognition tool that translate the pixels into alphanumerically readable character orstring. ANPR can be used in many areas from speed enforcement and tool collection to management of parking lots, etc. Atpresent, in ANPR there are several techniques used for the recognition plate’s number such as pattern matching [8], neuralnetwork character recognition [1], and image processing technology [2].which are computationally expensive or useartificial neural network which involves complex mathematics

B.AISHWARYA, “AUTOMATIC DETECTION AND RECOGNITION OF VEHICLE PLATE NUMBERS USING SVM”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 6, pp. 180-185, June 2018.