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License plate identification method based on cascaded convolutional network in natural scene and system thereof

A convolutional network, natural scene technology, applied in the field of license plate recognition based on cascaded convolutional networks, can solve problems such as loss of effectiveness

Inactive Publication Date: 2018-07-10
AEROSPACE INFORMATION
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Usually, license plate image data obtained in natural scenes is difficult to satisfy these constraints, making these existing license plate detection systems lose their effectiveness

Method used

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  • License plate identification method based on cascaded convolutional network in natural scene and system thereof
  • License plate identification method based on cascaded convolutional network in natural scene and system thereof
  • License plate identification method based on cascaded convolutional network in natural scene and system thereof

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Embodiment Construction

[0040] Exemplary embodiments of the present invention will now be described with reference to the drawings; however, the present invention may be embodied in many different forms and are not limited to the embodiments described herein, which are provided for the purpose of exhaustively and completely disclosing the present invention. invention and fully convey the scope of the invention to those skilled in the art. The terms used in the exemplary embodiments shown in the drawings do not limit the present invention. In the figures, the same units / elements are given the same reference numerals.

[0041] Unless otherwise specified, the terms (including scientific and technical terms) used herein have the commonly understood meanings to those skilled in the art. In addition, it can be understood that terms defined by commonly used dictionaries should be understood to have consistent meanings in the context of their related fields, and should not be understood as idealized or over...

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Abstract

The invention discloses a license plate identification method based on a cascaded convolutional network in a natural scene. The method comprises the steps of acquiring to-be-processed image data; performing preprocessing on the to-be-processed image data, thereby obtaining the processed image data; dividing the processed image data according to color and texture characteristics, thereby determining a vehicle area; combining a color template matching algorithm with a contour searching algorithm, thereby positioning the license plate and performing gray-scale processing on the license plate; performing contour fixing on the rectangular block of the license plate after gray-scale processing, and obtaining a bounding rectangle; performing image processing on the bounding rectangular by means of the cascaded convolutional network for obtaining a character characteristic; performing character segmentation by means of a structure characteristic; and performing character identification based on an improved template matching method.

Description

technical field [0001] The present invention relates to the field of image processing, and more specifically, to a method and system for license plate recognition based on a cascaded convolutional network. Background technique [0002] With the development of the economy, intelligent transportation is widely used in various cities. In the field of intelligent transportation, the cost of image acquisition and image storage is getting lower and lower. In social life, various industries have accumulated a large amount of historical license plate image data. The specific conditions of these license plate images obtained in natural scenes determine that these images show the characteristics of high-definition, diversification, and big data. In a real production environment, how to accurately detect the license plate area in a short time is the basis for improving the utilization of these license plate images. However, the existing license plate detection systems usually only d...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/32G06K9/34
CPCG06V20/63G06V30/153G06V20/625
Inventor 闫鹏
Owner AEROSPACE INFORMATION