Читать книгу Deep Learning Approaches to Cloud Security - Группа авторов - Страница 13

Navani Siroya1* and Manju Mandot2

1 MDS University Ajmer, India

2 Computer Science, JRN Rajasthan Vidyapeeth University, Udaipur, India

* Corresponding author: siroyanavani@gmail.com

Abstract

A few decades ago, biometric identification was a staple technology of highly advanced security systems in movies, but today, it exists all around us. Biometric technologies have the potential to revolutionize approaches to identity verification worldwide.

This chapter discusses the prevailing Biometric modalities, their classification, and their working. It goes on to discuss the various approaches used for Facial Biometric Identification such as feature selection, extraction, face marking, and the Nearest Neighbor Approach.

Here, we propose a system that compares an input image with that of the database in order to detect the presence of any similarities. Moreover, we use fiducially point analysis to extract facial landmarks and compare them with the database using data mining and use the Nearest Neighbor Approach for identifying similar images.

The chapter ends with deliberations on the future extent of Biometric technologies and the need to put in ample safeguards for data protection and privacy.

Keywords: Biometric, feature extraction, facial recognition, nearest neighbor approach