ENHANCING home security through visual CRYPTOGRAPHY

Author:

Mohan Jinu,R Dr Rajesh

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Software

Reference23 articles.

1. Face spoof attack recognition using discriminative image patches;Akhtar;J. Electr. Comp. Eng.,2016

2. Secure of face authentication using visual cryptography;Akotkar;Int. J. Innov. Sci. Modern Eng. (IJISME) ISSN,2014

3. Faceture ID: face and hand gesture multi-factor authentication using deep learning;Aleluya;Procedia Comput. Sci.,2018

4. A survey on cyber security evolution and threats: biometric authentication solutions;Benarous,2017

5. Biaru K D. (2014), A model of Two Factor Authentication using Facial Recognition in Automated Teller Machines, Available at https://pdfs.semanticscholar.org/aa13/55aa5c218a8599b0f48835ff787f6f95d907.pdf, accessed on 22nd June 2020.

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1. Identifying People’s Faces in Smart Banking Systems Using Artificial Neural Networks;International Journal of Computational Intelligence Systems;2024-01-10

2. Visual Cryptographic Shares Using Color Components;Handbook of Research on Thrust Technologies’ Effect on Image Processing;2023-06-30

3. A secure fingerprint template generation mechanism using visual secret sharing with inverse halftoning;Journal of Visual Communication and Image Representation;2023-06

4. Enhanced Visual Cryptography Using Quadratic Anisotropic Diffusion;2023 Sixth International Conference of Women in Data Science at Prince Sultan University (WiDS PSU);2023-03

5. A Privacy Protection Framework for Medical Image Security without Key Dependency Based on Visual Cryptography and Trusted Computing;Computational Intelligence and Neuroscience;2023-01-31

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