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A license plate recognition system based on deep learning

A technology of license plate recognition and deep learning, which is applied in the field of license plate recognition system based on deep learning, can solve problems such as difficulties in the process of license plate recognition, achieve the effects of improving performance, improving processing efficiency, and enriching image information

Pending Publication Date: 2019-06-14
XIAN UNVERSITY OF ARTS & SCI
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Problems solved by technology

[0004] Affected by different lighting conditions, viewing angles, newness and background light, etc., the recognition of license plates in different scenes is relatively difficult, because the text of the non-license plate area is proposed, the correct cutting of the license plate area, the isolation and recognition of characters, etc. Both are technical spaces that need to be improved, and any fault in any of them will cause difficulties in the entire license plate recognition process

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  • A license plate recognition system based on deep learning

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specific Embodiment

[0027] A license plate recognition system based on deep learning, the system comprising:

[0028] Preliminary acquisition module, image detection module, image processing module, image restoration module, character recognition module,

[0029] Among them, the preliminary acquisition module is used to collect the original image and obtain the color license plate character image to be recognized, that is, to obtain the original license plate character image, which is generally captured by the camera in real time;

[0030] The image detection module is used to extract the features of the license plate character image, and a single detector can be used to extract the features of the original captured image to obtain the target license plate image, so that it can detect the license plate on the original captured image acquired in any shooting scene ; Compared with other detection models with a fully connected layer, a single detector without a fully connected layer can effectively ...

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Abstract

The invention discloses a license plate recognition system based on deep learning, and the system is characterized in that the system comprises a preliminary obtaining module, an image detection module, an image processing module, and a character recognition module, and the preliminary obtaining module is used for collecting an original image, and obtaining a to-be-recognized color license plate character image; the image detection module is used for extracting features of the license plate character images, image processing operation does not need to be conducted on the whole license plate image, it can be guaranteed that the recognized color license plate character images have more image information in the license plate recognition process, and the image processing efficiency can be improved.

Description

technical field [0001] The invention relates to the technical field of license plate recognition, in particular to a license plate recognition system based on deep learning. Background technique [0002] According to the statistics of the public security department, the number of motor vehicles in my country has grown rapidly in recent years, with more than 15 million new vehicles added every year. At present, license plate recognition is based on digital image processing and computer vision and recognition technologies. With the development of urban traffic, the technology of license plate recognition has been widely used in the investigation of vehicle violations and highway tolls. [0003] The process of license plate recognition in the related art includes: obtaining a character image of the license plate, binarizing the acquired character image, and then processing the binarized character image to recognize the characters on the license plate. [0004] Affected by diffe...

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Application Information

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IPC IPC(8): G06K9/32G06K9/34G06K9/46G06K9/62
Inventor 张变莲
Owner XIAN UNVERSITY OF ARTS & SCI