| Autor: |
Sandy Kosasi, Mulkan Azhari, Husen, Mutiara S. Simanjuntak, Rika Rosnelly, Ade Clinton Sitepu |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
2020 8th International Conference on Cyber and IT Service Management (CITSM). |
| DOI: |
10.1109/citsm50537.2020.9268907 |
| Popis: |
The eigenface algorithm is a collection of eigenvectors used for face recognition through computers. The face recognition system is part of image processing that recognizes faces based on imagery that is stamped and stored in an image file in JPEG format. Face recognition problems can be solved through the implementation of an algorithm. The algorithm used in this study is the eigenface algorithm. The input image is stamped through a laptop camera with a size of 320 pixels x 240 pixels and reduced to 100 pixels x 100 pixels to be saved as a master file of the face with various facial expressions is a forward-facing position without a smile, facing forward a thin smile, facing forward with a big smile, head tilted to the left, and head tilted to the right. The purpose of this research is to build face recognition software using eigenface algorithms. The results showed that faces could be recognized using the eigenface algorithm with an average accuracy rate of 85%. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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