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Automatic Number Plate Recognition Research Paper

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Automatic Number Plate Recognition (ANPR) system is an image processing technology [6]. ANPR is the extraction of vehicle number plate information from an image or a sequence of images. The extracted information can be used with or without a database in many applications, such as electronic payment systems (toll payment, parking fee payment). The quality of the acquired images is a major factor in the success of the ANPR. ANPR as a real-life application has to quickly and successfully process number plates under different environmental conditions, such day or night time. It should also be generalized to process license plates from different nations or states [2]. Due the increasing number of stolen vehicles from year to year, researchers had …show more content…
Automatic vehicle number plate recognition (ANPR) was invented in 1976 at the Police Scientific Development Branch in United Kingdom for safety and security. The prototype was implemented in 1979. Automatic vehicle plate detection system was commonly used in parking areas and road traffic monitoring system. Here, an image can be obtained from the static object (vehicle at parking area) and moving object (vehicle on the road) [4].
Automatic Number Plate Recognition (ANPR) system is used to identify the vehicles by tracking their number plate without direct human intervention [6] [7]. Image processing is the extraction of meaningful and useful information from digital images by means of Digital Image Processing (DIP) techniques. DIP is a form of signal processing for which the input is a digital image or a video sequence. The output of DIP may be either an image or a set …show more content…
The captured input image has number plate covered by vehicle body, so by this step only number plate area is detected and extracted from whole body of vehicle. The number plate extraction phase influence the accuracy of ANPR system because all further steps depend on the accurate extraction of number plate area. The input to this stage is vehicle image and output is a portion of image containing the exact number plate [2]. Number plate detection aims at the spatial identification of the number plate within the input image. To this end, a feature extraction process initiates to reduce the amounts of data in the image. Techniques based upon combinations of edge statistics, texture and mathematical morphology are the most popular for detection of the plate region [1]. In NPE phase firstly the exact location of number plate is detected and then that area is extracted from the pre-processed input image. Thus NPE phase also consists of Number Plate Detection (NPD) process. Number Plate Detection (NPD) is also named as License Plate Detection (LPD). There are various image processing and artificial intelligence techniques used for the detection of number plate location from the input vehicle

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