Biometrics for Forensic Identification in Web Applications and Social Platforms Using Deep Learning

Abstract

Biometric authentication is being increasingly used in various applications to identify people using various traits. This can be of use in various applications like forensics, passport control, etc. In the rapidly growing era of internet, it is necessary to restrict access to data on the web. Security and customer usage are some of the essential parameters which should be taken care of in a web biometric system. Also, biometric technology has been implemented on social media platforms so as to save users from cyber-attacks and breach of privacy. This chapter provides an overview of how a web biometric system works, with an approach to use deep learning algorithms to identify traits like face, iris, and fingerprints. Such techniques can also be used to authenticate people in e-commerce applications. Further, the authors discuss the implementation of biometric verification techniques on social networking platforms like Facebook, Twitter, etc.