QR code recognition based on image processing

Abstract

To solve the QR code recognition problem caused by ordinary camera collection, the recognition algorithm based on image processing is put forward in this paper. The whole process including image binarization, image tilt correction, image orientation, image geometric correction and image normalization allows images collected on different illumination conditions, different acquisition angles to be quickly identified. Based on other recognition algorithm, some improvements are presented in the image tilt correction, image orientation, image normalization and so on to speed up the image processing and to achieve more simply. Experiments show that the improved method can enhance the recognition speed of two-dimensional code and accuracy.