ABSTRACT
In this paper, faces were employed as the only control means of right of entrance and usage of information on the super–highway. Principal Component Analysis (PCA) and Discrete Cosine Transform (DCT) algorithms were employed as our basis of comparison. An assessment of both algorithms was considered, it was discovered that PCA proved to be a better algorithm for access control and recognition system because of its very high average percentage of rightly classified faces (90.43%) and its strict attendance to both FAR and FRR (0.1077, 0.0609) than DCT with 64.57% and; 0.24 and 0.02 respectively.
O., O & A., 2 (2021). Assessment of an Access Control System Using Principal Component Analysis and Discrete Cosine Transform. Afribary. Retrieved from https://afribary.com/works/assessment-of-an-access-control-system-using-principal-component-analysis-and-discrete-cosine-transform
O., OMIDIORA and 2FAKOLUJO A. "Assessment of an Access Control System Using Principal Component Analysis and Discrete Cosine Transform" Afribary. Afribary, 16 May. 2021, https://afribary.com/works/assessment-of-an-access-control-system-using-principal-component-analysis-and-discrete-cosine-transform. Accessed 30 Nov. 2024.
O., OMIDIORA, 2FAKOLUJO A. . "Assessment of an Access Control System Using Principal Component Analysis and Discrete Cosine Transform". Afribary, Afribary, 16 May. 2021. Web. 30 Nov. 2024. < https://afribary.com/works/assessment-of-an-access-control-system-using-principal-component-analysis-and-discrete-cosine-transform >.
O., OMIDIORA and A., 2FAKOLUJO . "Assessment of an Access Control System Using Principal Component Analysis and Discrete Cosine Transform" Afribary (2021). Accessed November 30, 2024. https://afribary.com/works/assessment-of-an-access-control-system-using-principal-component-analysis-and-discrete-cosine-transform