Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Video stream-based license plate recognition method

A technology of license plate recognition and video stream, which is applied in the field of license plate recognition based on video stream, can solve the problems of inaccurate timing of license plate image recognition, low error tolerance rate of license plate recognition, etc., and achieve the effect of improving the overall recognition rate and reducing risks

Active Publication Date: 2014-05-28
厦门翼歌软件科技有限公司
View PDF2 Cites 48 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method has problems such as inaccurate timing of license plate image recognition and low fault tolerance rate of license plate recognition.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Video stream-based license plate recognition method
  • Video stream-based license plate recognition method
  • Video stream-based license plate recognition method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0054] See figure 1 , The present invention discloses a license plate recognition method based on video stream, which includes the following steps:

[0055] S1, detection trigger

[0056] Define a rectangular area of ​​interest, use the frame difference method to obtain a binary image in the rectangular area of ​​interest, and determine whether there are vehicles passing through the result of the binary image. It is achieved through the following steps:

[0057] S11. Define a rectangular area of ​​interest to detect moving vehicles;

[0058] S12. Obtain the difference image in the rectangular region of interest

[0059] difImg=|curImg-preImg|

[0060] Among them, difImg is the difference image, curImg is the current frame image, and preImg is the previous frame image;

[0061] S13. Perform thresholding processing on the difference image obtained in step S11 to obtain a binary image

[0062] thImg ( i , j ) = 1 , if ( difImg ( i , j ) > T ...

Embodiment 2

[0126] The difference between this embodiment and the first embodiment is that step S8 is added between steps S6 and S7 to track the result of the license plate, and determine whether there is a new vehicle based on the number of character matching and the coordinate matching result (refer to Picture 9 Shown). This step is mainly used to determine when a new car appears in the continuous recognition process, which is specifically implemented through the following steps:

[0127] S81. Calculate the number of character matches, compare the license plate number with the license plate result in the vehicle record stack by position, and obtain the sum of the numbers of identical characters in the 6 positions except for the Chinese character position. If the number of character matches is 6, it is determined that no new vehicle appears; if the number of character matches is less than 6, then step S72 is executed.

[0128] S82. Coordinate matching, calculate the movement vector between ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a video stream-based license plate recognition method, comprising the following steps: S1, detecting triggering, namely defining a rectangular region of interest, obtaining a binary image in the rectangular region of interest by a frame difference, and judging whether a vehicle passes through the region according to the result of the binary image; S2, license plate location, namely carrying out license plate detection in the detection region in the image, and cutting a detected license plate out to obtain a license plate image; S3, license plate pretreatment, namely carrying out license plate inclination correction and accurate license plate cutting on the license plate image; S4, license plate character cutting, namely cutting the character on the license plate image, and decomposing the character into a single character image; S5, license plate character recognition; S6, repeating operations from the steps S2 to S5 on each frame of image to obtain a plurality of license plate recognition results; and S7, result voting. By the video stream-based license plate recognition method, license plate recognition is carried out on the basis of a plurality of frames of images. Thus, the risk caused by a recognition error of a single image is greatly reduced, and the overall recognition rate of the license plate is improved.

Description

Technical field [0001] The present invention relates to the field of intelligent transportation, in particular to a method for license plate recognition based on video streams. Background technique [0002] The current image processing and recognition technology has been rapidly developed. Its task is to collect video through the camera equipment based on the software and hardware of the digital camera equipment and computer information processing system, and transmit the video to the computing background processing through the optical fiber. The device extracts and recognizes the image content. [0003] License plate recognition is to use the corresponding image processing, pattern recognition and artificial intelligence technology to find the position of the license plate in the image, extract all the characters on the license plate, and then recognize the Chinese characters and letters in the license plate after collecting the image of the vehicle by the camera. And numbers, an...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06K9/00G06K9/20G06K9/54
Inventor 郑海舟杨延生
Owner 厦门翼歌软件科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products