The study of E-Commerce Security Issues and Solutions

Authors

  • K.Sarvani
  • P.Hema sai
  • J.VijaySree

DOI:

https://doi.org/10.46243/jst.2021.v6.i06.pp125%20-134

Keywords:

Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Face Recognition, Independent Component Analysis (ICA)

Abstract

There has been a lot of development, difficulty, and fascination in the field of real-time face recognition. There have been several advancements in facial recognition technology over the last few decades. In an effort to do so, this article attempts to provide a complete overview of several facial recognition techniques. The approaches in this category range from principal component analysis to independent component analysis to support vector machine recognition to different hybrid combinations of these techniques. In this article, we'll take a look at how these various techniques fare when put to the test with lighting changes, different poses, and expressive facial expressions.

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Published

2021-12-27

How to Cite

K.Sarvani, P.Hema sai, & J.VijaySree. (2021). The study of E-Commerce Security Issues and Solutions. Journal of Science & Technology (JST), 6(6), 125–134. https://doi.org/10.46243/jst.2021.v6.i06.pp125 -134

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