Robust License Plate Recognition With Shared Adversarial Training Network
نویسندگان
چکیده
منابع مشابه
Adversarial Generation of Training Examples for Vehicle License Plate Recognition
Generative Adversarial Networks (GAN) have attracted much research attention recently, leading to impressive results for natural image generation. However, to date little success was observed in using GAN generated images for improving classification tasks. Here we attempt to explore, in the context of car license plate recognition, whether it is possible to generate synthetic training data usi...
متن کاملLicense Plate Character Recognition
License plate character recognition is an integral part in Intelligent Transportation Systems. Traditional methods used for number plate recognition were OCR, Optical Character Recognition and Formula Based Recognition. As Neural Network is an intelligence engine, it ensures greater accuracy rate along with better recognition speed. In this system, recognition is done with the help of Neural Ne...
متن کاملAutomatic License Plate Recognition
Automatic license/number plate recognition is a specific application of optical character recognition. Typically employed by law enforcement agencies, the uses for automatic license plate recognition have grown tremendously since its inception. Automatic license plate recognition may be used to cite individuals who violate traffic signals or drive in excess of the speed limit, as a method of el...
متن کاملLicense Plate Recognition System
This paper presents a novel method of identifying and recognizing license plates, required by an automatic vehicle identification system. The main challenge was the isolation of the car’s license plate, from the digital image acquired by the video system, under different illumination conditions and various angles. Thus, we have established the required preprocessing operations leading to succes...
متن کاملAutomatic License Plate Recognition
⎯ This paper presents an automatic license plate recognition algorithm by using webcam. The images of vehicle license plate, which were captured by using webcam are noised, illuminated and skewed under natural environment. We have to preprocess to get clean binary image and extract each character area to recognize numbers. But they are not simple jobs. In this paper, the high-speed and sophisti...
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2020
ISSN: 2169-3536
DOI: 10.1109/access.2019.2961744