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All Journal JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi)
Abdurrahman Johnsen Feriyansah
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Computer Science & IT Mathematics Other

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SISTEM PENGENALAN WAJAH DENGAN METODE 2D-PCA Lina Lina; Abdurrahman Johnsen Feriyansah
Jurnal Ilmu Komputer dan Sistem Informasi Vol 6, No 1 (2018): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (285.152 KB) | DOI: 10.24912/jiksi.v6i1.4661

Abstract

Face recognition systems are very popular for authentication and security purposes. However, the development of recognition algorithms has been a true challenge, especially for handling the biometric characteristics of an object. One popular method for face representation is PCA (Principal Component Analysis). PCA is able to solve many recognition problems effectively and efficient by reducing the object (image) dimensions. However, PCA has its own drawbacks in the implementation. When the developed system uses a very large dimension of the input images, the system with the PCA method will have difficulties in constructing the covariance matrix and calculating the eigenvalues and eigenvectors. To overcome these problems, a face recognition system using the 2DPCA method is developed. The experiments show that the 2DPCA method could give higher recognition accuracies compared with that of the PCA method
Co-Authors Lina Lina