A Distortion Rectification Method for Distorted QR Code Images Based on Self-Adapting Structural Element

With the rapid development of Internet of Things and communication technologies, QR code images are widely used in the embedded automatic identification field. However, previous works for the location of QR code have not considered how to extract the vertexes accurately in geometric distorted QR code images. In this paper, utilizing the characteristics of QR code, we propose an effective mathematical morphology method based on self-adapting structural element to obtain the distorted vertexes precisely and revise the distortion. Our method evaluates two data sets. Compared with previous works, the experiments indicate that our method can achieve higher recognition rate and be more adaptive for geometric distorted QR code images. Thus, the proposed method provides valuable application for embedded system and mobile terminal device.