The multi-QR codes extraction method in illegible image based on contour tracing

Abstract

In this paper, a multi-QR codes extraction method in illegible images is proposed. This method utilizes the contour tracing and corner detection technique for identification of key corner points, and then locates the potential code region by the finder pattern. The timing patterns are used to confirm a real code region. Moreover, image pre-processing procedures are merged in order to reduce the time and memory consumption. We test our method on images taken by embedded camera device under different environment, such as normal illumination, highlight spot and inadequate illumination. The results show that the method is fast for multi-QR-code extraction and practical for a digital camera with embedded DSP capable of performing advanced image processing algorithms on the fly.