Method for coding and decoding image identification codes

Abstract

The invention discloses a method for coding and decoding an image identification code. The method for coding the image identification code comprises the following steps of: setting the identification code on a background image; and identifying the background image, wherein identification code color are determined by the following steps of: solving an average value of all pixel point colors in thebackground area image, finding out current neutral color difference from the background, and using the neutral color difference or the average value of all the colors as the color of the identification code. The method for decoding the image identification code comprises the following steps of: analyzing image color data; extracting edges of an image; seeking for a data positioning unit; adding an external edge frame to data of a source code map according to the position of the data positioning unit; and reading the identification code and judging a code value of the identification code. According to the method, a large number of character code sets are abandoned, so less coding quantity and small changes and damage to an original map are realized, and effective identification can be realized by using a 0.3 mega-pixel common camera. The method is applicable for various complicated background conditions, has abundant overall pattern expressions, and can be used for conveniently endowing pictures with digital information content under the condition of not destroying information expression of the background image.

Description

technical field [0001] The present invention relates to an image encoding and decoding method. Background technique [0002] In daily life, it is necessary to scan the image of the commodity to obtain the information of the commodity, usually a two-dimensional code printed on the surface of the commodity is used. A two-dimensional code is encoded in a rectangular space through different distributions of black and white pixels in the matrix. In the corresponding element position of the matrix, the appearance of dots (square dots, dots or other shapes) represents binary "1", and the absence of dots represents binary "0". representative meaning. Two-dimensional code is an automatic reading and processing code system of graphic symbols based on computer image processing technology and combined coding principles. Representative QR codes include: Code One, Maxi Code, QR Code, Data Matrix, etc. [0003] As the amount of information contained in the QR code increases, it will be...

AI Technical Summary

Problems solved by technology

[0005] First: low recognition rate leads to user barriers

[0006] Since the two-dimensional barcode is an information-carrying code, the information content is stored in the code, the code is compact, and the amount of information coded is large, resulting in too many data points per unit area. A macro-precision CCD lens is required for code value collection and recognition. Ordinary mobile phone cameras and computer cameras are difficult to recognize normally, so they cannot be popularized in the mobile phone network (mobile Internet) and the Internet field

[0007] Second, special equipment leads to cost barriers

[0008] The special reading equipment used for QR codes has high purchase and leasing costs. The monthly rent is more than 1,000 yuan / set, and the purchase cost is more than 8,000 yuan / set.

The high cost leads to "cost barriers" in marketing, which directly affects the promotion and development space of 2D barcode applications

[0009] Third, the single form of expression leads to application limitations

[0010] The two-dimensional code is encoded by the different distribution of black and white pixels in the matrix, which can only be encoded and recognized under a single background, and cannot be applied to applications under complex background conditions

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