Secure Perceptual Hashing of Data using Encryption

Orthogonal A perceptual image hash function maps an image to a short binary string based on an images appearance to human eye. This paper proposes a theoretical analysis of full perceptual hashing systems that use a quantization module followed by a crypto-compression module. Finally, several experiments are conducted to validate the approach, by Gaussian noise and JPEG compression. Finally the image is encrypted using secret key called SHA-1 (Secure Hash Alogorithm-1) of 128 bits.