Face Duplication Identifier Using Artificial Nerves

Authors

    Sri Rezeki Candra Nursari( 1 ) Rizki Rahmatunisa( 2 )

    (1) Pancasila University
    (2) Pancasila University

DOI:


https://doi.org/10.32877/bt.v6i1.899

Keywords:


Artificial Neural Networks , Backpropagation Algorithm , Color Moment, Form Extraction , Face Duplication Identification , GLCM

Abstract

The facial recognition system develops a basic identity verification system based on the natural features of human faces. The study included duplicate passport identification, which checks each person's facial accuracy through a sample of facial data. The data used in this study were 180 face samples at the training stage and 30 face samples at the testing stage. The face sample taken is a forward-facing face that is not obstructed by an object. Face image recognition in this study combines GLCM method, color moment, shape extraction and backpropagation algorithm. The test process recognition rate is 78.83%.

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Published

2023-08-25

How to Cite

[1]
S. R. C. Nursari and R. Rahmatunisa, “Face Duplication Identifier Using Artificial Nerves”, bit-Tech, vol. 6, no. 1, pp. 78–86, Aug. 2023.

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Section

Articles
DOI : https://doi.org/10.32877/bt.v6i1.899
Abstract views: 66 / PDF downloads: 74