An efficient image-based verification scheme by fusion of double random phase encoding and dynamic chaotic map

This paper introduces an efficient image-based verification approach that integrates double random phase encoding (DRPE) and chaotic dynamic mapping. The main objective is to propose a new DRPE-based image verification scheme by replacing random phase masks (RPM) with efficient chaotic phase masks (CPM) which are dependent on an input image. For verification, the input image is first encrypted using the DRPE algorithm with the CPMs generated by our proposed methods. Then, the encrypted input image is sent to a database for verification. The peak-to-correlation energy between the encrypted input image and the encrypted reference image in the database verifies the image authenticity. The experiments reveal that the proposed scheme is highly sensitive to the key changes and represents good resistance against statistical attacks. This method can also be applied in the area of identity verification.