FACE RECOGNITION USING FINGERPRINT - STEGANOGRAPHIC MECHANISM

Electronics and Communication Engineering

In wireless communications, sensitive information is frequently exchanged, requiring remoteauthentication. Remote authentication involves the submission of encrypted information, along with visual. This paper proposes a robust authentication mechanism based on semantic segmentation, Arnold transform, and data hiding. Assuming that user X wants to be remotely authenticated, initially X's video object (VO) is automatically segmented, using a head-and-body detector. Next, one of X's biometric signals is encrypted by a chaotic cipher. Afterwards, the encrypted signal is inserted to the most significant wavelet coefficients of the VO, using its qualified significant wavelet trees (QSWTs). QSWTs provide both invisibility and significant resistance against lossy transmission and compression, conditions that are typical of wireless networks. Finally, the inverse discrete wavelet transform is applied to provide the stego-object. bandwidth efficiency measures indicate the promising performance of the proposed biometrics-based authentication scheme.

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