| Jurnal Angkasa Tahun 2012 Oleh Dwi Nugraheny |
HASIL EKSTRAKSI ALGORITMA PRINCIPAL COMPONENT ANALYSIS (PCA) UNTUK PENGENALAN WAJAH |
| ABSTRAK |
| Algorithm of Principal Component Analysis (PCA) is one method that can be used to manipulate the image of a person's face so that the system will automatically recognize a person's face through its main characteristics such as eyes, nose, lips, eyebrow as identity. This research aims to build a model of the face detection using Principal Component Analysis (PCA). The extraction phase of the build phase vector lines to face image obtained is then used as the eigenface comparison on the image of the new test. The results of the extraction of proving that an algorithm PCA can be used to analyze and to detect an image of the face of relatively good. Keywords: PCA (Principal Componen Analysis), extraction , eigenface. |
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