Adapted Facial Recognition And Spoofing Detection For Management Decision Making System: A Visually Impaired People Perspective

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Pooja Singh , N.Jeebaratnam , Harish G Ugraiah , Mrs. Galiveeti Poornima , Mr. Ajay.P

Abstract

Biometrics is the measuring and analysis of biological data such as fingerprints, retinas, irises, DNA, face patterns, voice patterns, and hand measurements for the goal of identifying a person. It is becoming more prevalent in both corporate and public security systems to use biometric verification for authentication. As a result of the permanent, ubiquitous, and easy-to-access physical and behavioural traits of individuals, biometrics are able to provide trustworthy identity management systems. Around 0.7 of the world's population has some kind of visual disability, according to the World Health Organization's estimations. Of them, 39 million are blind. Many blind individuals throughout the world are unable to identify the persons standing in front of them, and there are others who struggle to recall someone's name. This method makes it simple to identify the subject. Visually challenged individuals may identify strangers with the use of computer vision and picture analysis. Face recognition and spoofing detection are used in this system to identify people who are standing outside your house. In addition, users will be able to add previously unknown individuals and keep track of everyone who comes to their house using this system.

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