Erwin, Erwin and Muhammad, Fachrurrozi (2018) New Optimization Technique to Extract Facial Features. IAENG International Journal of Computer Science. ISSN 1819-656X
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Abstract
The improved harmony search algorithm (IHSA), harmony search algorithm (HSA) and genetic algorithm (GA) are applied to extract facial features based on edges in the horizontal direction. The study used 100 images from 20 different faces from the California Institute of Technology dataset. The results show that IHSA is better in terms of accuracy and speed compared to HSA and GA, with average accuracy of 77.055% in an average time of 0.077 seconds compared to HSA at 75.176% in an average of 0.105 seconds and GA at 74.931% in an average of 3.627 seconds.
| Item Type: | Article |
|---|---|
| Subjects: | Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation. |
| Divisions: | 09-Faculty of Computer Science > 55201-Informatics (S1) |
| Depositing User: | Dr. Muhammad Fachrurrozi |
| Date Deposited: | 05 Apr 2023 11:49 |
| Last Modified: | 05 Apr 2023 11:49 |
| URI: | http://repository.unsri.ac.id/id/eprint/92418 |
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