Color human face recognition method for hypercomplex encryption domain

Abstract

The invention provides a color human face recognition method for a hypercomplex encryption domain. The method comprises the following steps: sine mapping with two-dimensional Logistic regulation is used for generating a double-random phase mask; a to-be-recognized color human face image is expressed as a pure quaternary matrix, and encryption is carried out according to the double-random phase mask and quaternion Fourier transform; real and imaginary components of ciphertext data are extracted, a sparse matrix is combined to obtain a sparse ciphertext component, and a sparse ciphertext is obtained according to the ciphertext component and decrypted; according to an invisible color human face image obtained through decryption, a quaternion minimum average correlation energy mean filter is built; and the product of the to-be-recognized color human face image and the filter is subjected to quaternion Fourier inverse transform, a peak-to-sidelobe ratio (PSR) value is calculated, and the category of the filter corresponding to the maximum PSR value serves as the category of the to-be-recognized color human face. The recognition precision can be effectively improved, the content of the human face image can be hidden, and the safety is high.

Description

technical field [0001] The invention relates to the technical field of biological feature recognition, in particular to a color face recognition method in a hypercomplex encryption field. Background technique [0002] As an important aspect of biometric identification, face recognition has been widely studied and applied in the fields of computer vision monitoring, human-computer interaction and identity authentication. In general, face recognition methods include two stages of feature extraction and recognition. [0003] In an unconstrained natural environment, face images inevitably have problems such as scale scaling, angle rotation, perspective transformation, occlusion, and illumination. In order to improve the face recognition rate in the harsh environment mentioned above, some face images based on correlation The recognition method has been continuously developed, and the design of this filter is mainly based on the face images of the training set in the Fourier tran...

AI Technical Summary

Problems solved by technology

Therefore, information security has become a crucial issue, and the current relevant face recognition method is to directly use the original color face image and the quaternion minimum average correlation energy mean filter for recognition. The recognition accuracy and security of this method The performance is not high enough to meet the needs of users

Images