A COMPARATIVE STUDY OF BIOMETRIC FEATURES AND GLOBAL
Hema Duba, Giri Babu Kande · 2017
The method of face recognition is very much challenging within the context of Image Processing, and due to its widespread utilities in different aspects, it has gained immense popularity and general notice. This article demonstrates a comparative study of various biometric features and global profits and incomes accumulated with the help of various biometric methods. Next to the different biometric implementations along with description of face recognition procedure, a few risks and hindrances which are faced during face recognition in present network are narrated. Besides, a general study regarding few known mathematical formulas and their prospects in face recognition methods have been described. Lastly, it concludes with a handful of current algorithms alongside Support Vector Machine to fetch better outcome.