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License plate recognition system based on deep neural network

A technology of deep neural network and license plate recognition, applied in biological neural network models, character recognition, neural architecture, etc., can solve the problems of quality dependence, low resolution, blur, etc.

Pending Publication Date: 2021-01-15
ZHEJIANG IND POLYTECHNIC COLLEGE
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a license plate recognition system based on a deep neural network, to solve the above-mentioned background technology because the binary image or intermediate representation is used as input, so the quality of character segmentation is affected by input noise, low resolution, fuzzy or Deformation factors have a greater influence; character recognition usually uses an optical character recognition method (OCR) for recognition, and the quality of recognition depends heavily on the results of character segmentation

Method used

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  • License plate recognition system based on deep neural network
  • License plate recognition system based on deep neural network
  • License plate recognition system based on deep neural network

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Embodiment Construction

[0073] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0074] see Figure 1-8 , the present invention provides a kind of technical scheme: a kind of license plate recognition system based on deep neural network, including license plate extraction, license plate recognition and data set experimental result steps; (such as figure 1 shown)

[0075] S1: license plate extraction

[0076] License plate extraction is the most critical part of the license plate recognition system, it directly affects the quality of subs...

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Abstract

The invention discloses a license plate recognition system based on a deep neural network. The license plate recognition system comprises a license plate extraction step, a license plate recognition step and a data set experiment result step. S1, license plate extraction: license plate extraction is the most critical part in a license plate recognition system, directly affects the quality of a subsequent license plate recognition result, and comprises three parts: license plate positioning, license plate segmentation and license plate correction; multiple license plate positioning methods areavailable; according to the license plate recognition system based on the deep neural network, a license plate segmentation network based on the deep convolutional neural network is provided, a license plate pixel region can be directly segmented, end-to-end training of license plates of various countries is supported, and the license plate recognition network supporting variable length based on the deep convolutional neural network is provided. Characters do not need to be pre-segmented, the license plate sequence can be directly output only by decoding network output, and end-to-end trainingof license plates of all countries is supported.

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 a deep neural network. Background technique [0002] With the rapid development of the economy, the increasing number of vehicles makes the license plate recognition technology more and more important in our social life. Traffic management, digital monitoring, vehicle identification, and parking management all have extremely high demands on license plate recognition technology. As a complex problem, license plate recognition faces many challenges: blurry images, low-light images, diversity of license plates (license plates from different countries), physical factors and weather interference, etc., all of which will lead to errors in license plate segmentation and recognition. Therefore, a robust license plate recognition system needs to be able to cope with various challenges in reality and maintain high-precision rec...

Claims

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Application Information

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IPC IPC(8): G06K9/34G06K9/62G06N3/04
CPCG06V30/153G06V20/625G06V30/10G06N3/045G06F18/214Y02T10/40
Inventor 周庆标杜艳明方杰
Owner ZHEJIANG IND POLYTECHNIC COLLEGE
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