基于SRCNN的QR二维码-人脸重构算法

QR Code and Face Reconstruction Algorithm Based on SRCNN

针对人脸识别技术存在的缺少生物信息的隐私保护、有很大的信息泄露风险问题,提出基于超分辨率卷积神经网络的QR二维码-人脸重构算法。该算法将获取到的人脸特征信息转化为QR二维码,并生成QR二维码图片,然后将存储的QR二维码图片与人脸特征信息对比,当比对结果达到一定阈值,实现人脸识别。该算法实现了QR二维码与人脸信息的重构,保证了人脸生物信息的准确、快速传递,也提高了人脸识别率,为生物信息的安全性和隐私保护提供了一种有效途径。

In view of the lack of privacy protection of biological information and the risk of information leakage in face recognition technology, a QR code and face reconstruction algorithm based on super-resolution convolutional neural network is proposed in this paper. The algorithm converts the obtained face feature information into QR code, generates QR Code pictures, and then compares the stored QR code pictures with face feature information. When the comparison results reach a certain threshold, face recognition is realized. The algorithm realizes the reconstruction of QR Code and face information, ensures the accurate and rapid transmission of face biological information, improves the face recognition rate, and provides an effective way for the security and privacy protection of biological information.