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A real-time license plate detection method based on convolutional neural network

A convolutional neural network, license plate detection technology, applied in the field of computer vision, can solve the problem of low target area recognition efficiency, and achieve the effect of excellent detection effect, correction of license plate detection area, and fast detection speed

Active Publication Date: 2022-04-22
ZHEJIANG LAB
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The technical problem solved by this disclosure is to provide a real-time license plate detection method based on convolutional neural network to at least partially solve the technical problem of low target area recognition efficiency in the prior art

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  • A real-time license plate detection method based on convolutional neural network
  • A real-time license plate detection method based on convolutional neural network
  • A real-time license plate detection method based on convolutional neural network

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Embodiment Construction

[0031] Embodiments of the present disclosure are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present disclosure from the contents disclosed in this specification. Apparently, the described embodiments are only some of the embodiments of the present disclosure, not all of them. The present disclosure can also be implemented or applied through different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present disclosure. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other. Based on the embodiments in the present disclosure, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection sc...

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Abstract

The invention discloses a real-time license plate detection method based on a convolutional neural network, comprising the following steps: obtaining a vehicle image containing a license plate as a training set, designing a keypoint-Anchor, and extracting features of the training set; using a deep convolutional neural network The detection model is used as the baseline network architecture for license plate detection, and the detection model is modified according to the keypoint-Anchor method; the modified detection model is trained using the training set, target frame coordinates and corner point coordinates to obtain a trained detection model; use The trained detection model detects the image to be detected, and obtains the detection results of the license plate in the image taken from different angles. The invention has a simple implementation method and strong portability, and can realize accurate detection of license plates in places such as roads, parking lots, and entrances and exits of residential areas captured by cameras.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to a real-time license plate detection method based on a convolutional neural network. Background technique [0002] Cars bring convenience to people's travel, but also cause the problem of urban traffic congestion. This phenomenon brings great inconvenience to people's life, and corresponding and effective means are urgently needed to solve it. The license plate is unique as a sign of a car. After obtaining the license plate number, all the information of the vehicle (such as the type of vehicle, the owner, etc.) is clear at a glance. Among them, the precise positioning of the license plate position is one of the keys of this technology. [0003] In recent years, using digital image processing and computer vision and other related technologies, the license plate number is automatically recognized and stored in the system database. Occurrence of errors, etc. Developed many communit...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V20/62G06V10/82G06K9/62G06N3/04G06T7/70G06V10/774
CPCG06T7/70G06T2207/20081G06T2207/20084G06N3/045G06F18/214
Inventor 徐芬曹卫强徐晓刚王军何鹏飞虞舒敏
Owner ZHEJIANG LAB