A system for human face detection and recognition using feature fusion and a method thereof /
Title
A system for human face detection and recognition using feature fusion and a method thereof /
Subject
Computer Science
Description
Patent Number: 202141031566, Applicant: Manjunatha Hiremath.
Biometric systems have become a vital role in the process of authenticating an individual based on physical or behavioral features/ traits of human beings. Biometric systems are categorized into two types namely Physiological and Behavioral systems. Face recognition, Fingerprint, Iris recognition, Hand geometry, and DNA fingerprint traits are considered as physiological biometrics which are essentially fixed and are relatively stable whereas voice recognition, signature and keystroke recognition are considered behavioral biometrics that can vary over a period of time due to some factors like aging, mood and behavior of the person.
Biometric systems have become a vital role in the process of authenticating an individual based on physical or behavioral features/ traits of human beings. Biometric systems are categorized into two types namely Physiological and Behavioral systems. Face recognition, Fingerprint, Iris recognition, Hand geometry, and DNA fingerprint traits are considered as physiological biometrics which are essentially fixed and are relatively stable whereas voice recognition, signature and keystroke recognition are considered behavioral biometrics that can vary over a period of time due to some factors like aging, mood and behavior of the person.
Creator
Paulose, Joy.
Publisher
Intellectual Property India
Date
2021
Language
English
Type
Patent
Collection
Citation
Paulose, Joy., “A system for human face detection and recognition using feature fusion and a method thereof /,” CHRIST (Deemed To Be University) Institutional Repository, accessed April 26, 2024, http://archives.christuniversity.in/items/show/2457.