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Review Papers | Computer Science & Engineering | India | Volume 6 Issue 1, January 2017 | Popularity: 6.9 / 10

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Survey on Face Recognition in the Scrambled Dataset using MK-RDA

Kavita I. Kadam, Chhaya R. Jadhav

Abstract: Facial expression is a serious ability preferred by human-interacting systems that aim to be receptive to differences in the humans expressive state. Scrambling isolated information in a captured image can be a solution to shortening a system. The applications of cameras widely differ, e. g. , crime investigation, marketing, and nursing of an environment. That is, the rule of analysis systems is predicted to become more varied from wide area networks or WAN to home area networks due to the growth size and price of cameras. The privacy-enhanced face recognition system allows to professionally hiding both the biometrics and the result server outcome that performs the matching process. A novel scrambling image process for protecting sensitive image areas that encrypts the sensitive data in a parametric form, abusing the visual information in the residual part of the Image.

Keywords: Biometrics, face scrambling, kernels, random discriminant analysis, Internet-of-Things, user privacy

Edition: Volume 6 Issue 1, January 2017

Pages: 142 - 144

DOI: https://www.doi.org/10.21275/ART20163970

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