Image Security Using Triple Key Chaotic Encryption and SPIHT Compression Technique in Steganography

In recent trend biometric authentication is been used extensively to authenticate the person remotely. So, it is necessary to secure the sensitive secret data by encryption, before transmitting over medium. This paper proposed a stout, highly secure authentication technique based on semantic segmentation, Triple key chaotic encryption and data hiding. If a user wants to be authenticated remotely, then firstly image is segmented to extract head and body parts through semantic segmentation. Second, take A’s fingerprint and encrypt it using Triple key chaotic encryption technique. Furthermore, qualified significant wavelet tree is used to place the encrypted signal in the most significant wavelet coefficient of image. Finally, Inverse Discrete Wavelet Transform is applied to obtain stego image. The output image is further compressed before transmission over wireless medium using Set Partition in Hierarchical Tree compression technique. This technique has good resistance against lossless transmission and compression. The performance measures are Peak signal to noise ratio, correlation index, information entropy and compression ratio.

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