QR Code Optimization with Salient Facial Feature

This paper presents a method to generate visually optimized QR Code images with salient facial features. The input of our method includes a facial image and its corresponding text. Firstly, we generate a standard QR Code using the given text. Secondly, we use an iterative FDo G algorithm to extract salient facial features. Lastly, we adopt an optimization-based pattern replacement algorithm to compute new modules, which are used to replace original ones in QR code. Afterwards, a new QR code image encoding salient facial features can be generated with these new modules. The experiments show that our method can generate more visually-pleasant QR code images without affecting the decoding rate and accuracy.