Special embedded type two-dimensional code recognition method

Abstract

The invention relates to a special embedded type two-dimensional code recognition method. The method includes the first step of generating a two-dimensional code image suitable for a special domain, the second step of carrying out image graying, image binaryzation, edge extraction and initial locating and geometrical cutting on the two-dimensional code image, searching three view finding graphs and carrying out rotating processing, the third step of starting to determine the version number after image rotating, the fourth step of establishing a sampling grid by combining the specific positions of the three view finding graphs, sampling data and converting the image to a data matrix, the fifth step of decoding, the sixth step of verifying and the seventh step of displaying decoded decoding data. The special embedded type two-dimensional code recognition method has the advantages that the generated two-dimensional code image is fixed to a certain version or several versions, so reduction of the recognition rate is avoided, and the work needing to do to adapt to many versions is avoided at the same time; when the two-dimensional code image is generated, the error correction grade should be improved to the greatest extent, and the recognition rate is further improved. The verification is carried out when the two-dimensional code image is generated, and the introduction of the technology further improves the recognition rate.

Description

technical field [0001] The invention relates to an identification technology implemented on an embedded platform, in particular to a special embedded two-dimensional code identification method. Background technique [0002] With the development of intelligent identification technology, two-dimensional code identification technology has been widely used in all aspects of our life because of its convenience and speed. However, due to the limitations of the system itself in terms of function, reliability, cost, volume, power consumption, etc., the two-dimensional code image recognition technology in some special fields implemented on the embedded platform (such as using ATM machines or online banking for transfers) leading to a decrease in recognition rate. For example, the recognition rate drops due to incorrect calculation of the version number, the recognition rate drops due to a low level of error correction, and the recognition rate drops due to no checksum being introduc...

AI Technical Summary

Problems solved by technology

It is specifically reflected in three aspects: 1. The existing solution has the problem of reduced recognition rate due to the wrong calculation of the version number of the two-dimensional code image; 2. The existing solution has the problem of reduced recognition rate due to the low level of error correction; 3. The problem of the reduction of recognition rate caused by the lack of verification in the existing scheme

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