QR two-dimensional bar code recognition method based on pickup head for chatting

A two-dimensional barcode and camera technology, which is used in instruments, sensing record carriers, computer parts, etc., can solve the problems of strong randomness of the initial center value of the group, no results, and long time consumption, and it is easy to select the threshold value. , the model is simple, the effect of low space complexity

Inactive Publication Date: 2007-10-24
CHINA AGRI UNIV
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Problems solved by technology

Its decoding module uses the K-mean clustering method (K-mean clustering) in the binarization of the barcode image. The disadvantage of this method is that the initial central value of the gr

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  • QR two-dimensional bar code recognition method based on pickup head for chatting
  • QR two-dimensional bar code recognition method based on pickup head for chatting
  • QR two-dimensional bar code recognition method based on pickup head for chatting

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[0036] (1) Grayscale

[0037]Because the QR code image is composed of black and white modules of 0 or 1, and the color image is collected by the camera. Color images contain a lot of information, which not only costs a lot in storage, but also slows down the execution speed of the system in processing. Since each pixel of the image has three different color components, there is a lot of information irrelevant to the recognition, which is not convenient for further recognition work. Therefore, in the process of image recognition, the color image is often converted into a grayscale image, so as to Speed ​​up processing. The process of converting a color image to a grayscale image is called grayscale processing. A grayscale image is an image with only intensity information and no color information. Since the human eye is most sensitive to green, second to red, and least sensitive to blue, after a lot of practical experience, people have concluded that the weight of green is 0....

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Abstract

The invention discloses a QR two-dimension bar code automatic recognize method based on chat camera, which can quickly and effectively recognize the QR two-dimension bar code read by general chat camera. The invention is not limited in special two-dimension bar code recognizer, to expand the limit condition of input bar code. For the QR bar code image under natural light, the invention designs a self-adaptive threshold division algorism to binary treat the bar code image. When accurately positioning four tops of the QR bar code, based on the character of a position detect image in the QR code, finds three tops, and when positioning the fourth top, using a digging algorism to dig the QR bar code image, to avoid the interference of internal points in Hough conversation, and for resolving the defects of traditional Hough conversation as large calculation and high spatial complexity, the invention designs a Hough conversation crossing known points. Based on the character that the QR code image is square in distortion, the invention uses control point conversation to correct geometry distortion, and uses dual-linear interpolation in gray interpolation in the conversation.

Description

technical field [0001] The invention belongs to the automatic identification technology of electronic barcodes. For the quick response code (or QR two-dimensional barcode, QR two-dimensional barcode, QR Code or QR code for short) generated according to the national standard GB / T 18284-2000 "Quick Response Matrix Code", Automatic recognition based on widely used cameras for chatting. Background technique [0002] The electronic barcode technology commonly used at home and abroad is one-dimensional barcode coding and automatic identification technology. The common coding methods include various standards such as EAN-8, EAN-13, UPC-A and UPC-E. However, the amount of information contained in it is quite small, and it is limited to the use of numbers, which is no longer sufficient in this era of information explosion. Due to the advancement of information technology and hardware technology, we can expand the capacity of electronic barcodes, thus producing the standards and tech...

Claims

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Application Information

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IPC IPC(8): G06K7/00
Inventor 孙明傅隆生李天忠韩书庆
Owner CHINA AGRI UNIV
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