ALPR for Ambiguous Character using Template Matching with Fuzzy Classifiers: a Survey
نویسندگان
چکیده
In this paper, we consider the difficulties in identifying the license plate number of a vehicle, due to the over brightness of the headlights in the vehicle, the muddy condition of the plate. Optical Character Recognition (OCR) technique is used to solve these problems and gives the solution. We would like to state that vehicle license plate information got from an image or a sequence of images can be extracted by using OCR. This extracted information can be applied in many applications with or without database, Ex. Traffic Surveillance. These images may be in color: black and white or infrared. The main success of the ALPR (Automatic License Plate Recognition) is the quality of the acquired images, and environmental independence, Ex. Indoors, outdoors, day or night time. ALPR supports the methodologies used in various nations, provinces and states. In this paper we present a survey result of various methodologies used in ALPR systems.
منابع مشابه
Automatic License Plate Recognition For Ambigious Character Using Template Matching With Fuzzy Classifiers
Automatic license plate recognition (ALPR) is the extraction of vehicle license 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), and freeway and arterial monitoring systems for traffic surveillance. The illuminated images are bett...
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