As an emerging technology

Image Perceptual Hashing(IPH)

is becoming a new hotspot and have broad potential applications.Through extracting the digest of perceptual information of an image and matching based on the digest

IPH supports the identification and authentication of images.Currently

the IPH algorithms in the literature are mainly focused on the image feature extraction

but they do not introduce sufficient perceptual factors.In this paper

several new IPH algorithms based on HVS are proposed.Experiments test and compare the proposed algorithms.The results suggest our methods take more perception information into account and have better performance on robustness and discriminability.