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The personal identification from the features of personal face and voice is described in this study. The face area is detected from the picture including both the face and the complicated background by using Microsoft Kinect sensor. The personal voice is also recorded from Kinect microphone array, which is used for the personal identification. The features of the personal face are calculated from...
Steganalysis is detecting and decoding hidden data within a given media and is taken as a countermeasure to steganography. There has been quite some effort in audio steganalysis for additive embedding model. But, results are disappointing when they distinguish the cover-audio signal with multiplicative noise and the stego-audio signal. In this paper, multiplicative noise is changed to additive noise...
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