Research On QR Code Code Recognition Algorithm And System Based On

Two-dimensional barcode not only has a large capacity of information, high security, easy to manufacture, low cost, it can also encode Chinese characters, Japanese words, numbers, letters, pictures. Mobile phones have become an indispensable tool to obtain information. When people travel, they need to access information at any time; barcode identification system can make people understand the product information at anytime, anywhere, we believe barcode identification system installed on the phone will be a trend.This paper analyzes and researches the image preprocessing of QR Code, analyzes the characteristics and pertinence of different image processing method in all aspects, and analyzes and compares the experimental results, improves the two-dimensional barcode recognition algorithms in the complex background, finally, designs a complete barcode identification system which achieves satisfactory recognition performance on Smart phones.The main innovation of this paper is as follows:(1) In order to maintain the clarity of the edge detail and good noise filtering, in this paper, through analyzing the characteristics of the noise and the edge, we design a comprehensive improved algorithm which can intelligently determine edge detail and smooth region with noise, experimental results show that this comprehensive protect the edge detail while eliminating noise.(2) In order to better conduct illumination correction, this article has been improved histogram equalization, the improved methods is segmentation histogram equalization. Experimental results show that the images are more clearer.(3) Improve the traditional edge detection algorithm on the basis of OTSU by using fuzzy theory, so that the edge information is more abundant.