Automatic License Plate Detection Using Deep Learning Techniques
نویسنده
چکیده
Automatic License Plate Recognition (ALPR) systems capture a vehicle‟s license plate and recognize the license number and other required information from the captured image. ALPR systems have numbers of significant applications: law enforcement, public safety agencies, toll gate systems, etc. The goal of these systems is to recognize the characters and state on the license plate with high accuracy. ALPR has been implemented using various techniques. Traditional recognition methods use handcrafted features for obtaining features from the image. Unlike conventional methods, deep learning techniques automatically select features and are one of the game changing technologies in the field of computer vision, automatic recognition tasks and natural language processing. Some of the most successful deep learning methods involve Convolutional Neural Networks. This technique applies deep learning techniques to the ALPR problem of recognizing the state and license number from the USA license plate. Existing ALPR systems include three stages of
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