Author(s): Shaista Khan and Manisha Dwara

Abstract: A tool for facial recognition is a technology that can recognise or verify a person from a digital image or from a source of video. There are many ways facial recognition systems work, but usually they work by matching selected facial features within a database from a given image with faces. It is also known as a Biometric Artificial Intelligence-based application that can uniquely identify a person by analysing patterns based on the individual’s facial textures and shape. In this method, we use three authentication steps for the electors will be used. The first step is the verification of the UID, the second step is the number of the voter card and the third step is the verification, which includes different algorithms for facial recognition. We will offer a comparative analysis between these algorithms in this paper, namely: FisherFace, SURF & Eigenface.

DOI: 10.33545/26633582.2020.v2.i1a.28

Pages: 21-24 | Views: 970 | Downloads: 435

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