Intelligent Face Recognition in Ecommerce Product Delivery System
This paper is written to enhance the security
implementation in ecommerce product delivery system. In
recent days of the new era over millions of products are being
bought and sold on ecommerce website across the globe.
Products from all around the world are imported and exported
across countries. Key holes for fraud activities also arise due to
this. Hundreds of products especially in the field of mobiles and
laptops are bought from ecommerce websites during the offers
and sales period and are being delivered to people with fake
addresses. The aim of this paper is to ensure and enhance face
authorization in ecommerce websites and applications. Face
Authentication is done using Local Binary Patterns Histograms
(LBPH). Which in turn increases the security of delivering
products to authorized users only.