An HVS-based image hashing method incorporating a Watson's sensitivity matrix is proposed.The transform domain matrix composed of 8-by-8 block DCT coefficients of the image are multiplied by N matrices that are pseudo-randomly generated with a key

and divided by the periodically extended Watson matrix.By quantization

an N-bit image hash is obtained.Compared to some other hashing methods

the HVS-based hash has better robustness against JPEG compression and low-pass filtering.Since a key is used in the algorithm

the hash is hard to be forged.