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License plate recognition method based on deep learning

A license plate recognition and deep learning technology, applied in the field of license plate recognition, can solve the problems of window redundancy, high time complexity, and large requirements for the installation angle of the camera, and achieve the effect of high robustness and stable effect.

Pending Publication Date: 2021-07-27
的卢技术有限公司
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Problems solved by technology

[0003] The main problems of traditional target detection are two aspects: on the one hand, the sliding window selection strategy is not targeted, the time complexity is high, and the window is redundant; on the other hand, the features designed by hand are less robust; The installation angle has great requirements, and the application scenarios are limited

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  • License plate recognition method based on deep learning

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Embodiment Construction

[0035] The invention will be described in further detail below in conjunction with the accompanying drawings.

[0036] Such as figure 1 As shown, the method of the present invention preprocesses the input image, and trains the processed image as the training set of the vehicle detection model, and performs vehicle detection on the input image with the model obtained by training to obtain the vehicle detection frame. The vehicle detection frame intercepts the vehicle area on the input image; uses all the intercepted vehicle areas as the training set of the license plate detection model to train the license plate detection model, and the trained license plate detection model detects the intercepted vehicle area to obtain the license plate area, The license plate area is used as the input of the multi-label classification model, and finally the character information of the license plate is obtained, so as to realize the license plate recognition.

[0037] The license plate recog...

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Abstract

The invention relates to a license plate recognition method based on deep learning, and belongs to the technical field of license plate recognition. The pictures (or videos) are collected through a front camera, then a convolutional neural network (CNN) is adopted to carry out feature extraction on the pictures so as to carry out target detection, and a multi-label classification method is adopted to carry out multi-label classification on license plates so as to obtain license plate characters. The license plate characters are identified by adopting a multi-label classification method, and the problem of low final identification rate caused by inaccurate segmentation in the license plate character segmentation process is avoided. The method has low requirements on the position of the camera, can be used in most occasions, and has wide application scenes.

Description

technical field [0001] The invention relates to a license plate recognition method based on deep learning, which belongs to the technical field of license plate recognition. Background technique [0002] The traditional target detection method is roughly divided into three parts: area selection (sliding window), feature extraction (SIFT, HOG, etc.), and using the extracted features to train a classifier; at the same time, the traditional license plate recognition will segment the license plate characters to complete the license plate area. After the location of the license plate, the license plate area is divided into individual characters, and then the license plate character recognition is carried out. The methods used are mainly based on the template matching algorithm. [0003] The main problems of traditional target detection are two aspects: on the one hand, the sliding window selection strategy is not targeted, the time complexity is high, and the window is redundant;...

Claims

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Application Information

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IPC IPC(8): G06K9/32G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/63G06V10/44G06V20/625G06N3/048G06N3/045G06F18/241
Inventor 汪全伍
Owner 的卢技术有限公司
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