Samsuryadi, Samsuryadi (2020) Face Recognition Using Hyper Sausage Neuron Networks. Advances in intelligent systems research,proceeding of the Sriwijaya International Conference on Information Technology and Its Applications (SICONIAN 2019). ISSN 1951-6851
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Abstract
Biometric authentication systems are generally utilized in different manners. One of the most generally utilized biometric systems is the face. The face is one path for every person to know one another and has their very own attributes or is extraordinary to every individual. The face recognition system is divided into three phase’s, namely pre-processing, feature extraction, and recognition. This paper combines Linear Discriminant Analysis (LDA) for feature extraction and Hyper Sausage Neuron Networks (HSNN) for the face recognition system. LDA is used to overcome the resistant to changing image conditions, and HSNN can overcome high false acceptance problems on Traditional Pattern Recognition (TPR). The research used the face94 database with LDA-HSSN could enhance the accuracy of face recognition from the previous methods such as SVM with RBF kernel and KNN respectively 2.03% and 35.54%.
| Item Type: | Article |
|---|---|
| Subjects: | Q Science > Q Science (General) > Q1-295 General |
| Divisions: | 09-Faculty of Computer Science > 55101-Informatics (S2) |
| Depositing User: | Dr. Syamsuryadi Sahmin |
| Date Deposited: | 18 Apr 2023 09:18 |
| Last Modified: | 18 Apr 2023 09:18 |
| URI: | http://repository.unsri.ac.id/id/eprint/97013 |
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