Stegnographic Mechanism Using Biometrics

Abstract

Remote authentication involve the submission of encrypted information, all along with image and auditory cue (facial
images/videos). Our paper proposes a robust authentication mechanism based on the concept of chaotic encryption,
semantic segmentation and data hiding. Finally, the Inverse Discrete Wavelet Transform (IDWT) has applied to provide
the stego-video object. In Our technology, we applied biological traits, such as fingerprints, hand geometric, ear lobe
geometric, retinal and iris pattern, DNA and signatures. Biometric authentication is the application to validate user for
accessing a system. These are used to secure a wide range of electronic communications includes online commerce and
banking.