- Tytuł:
- Fast near-infrared palmprint recognition using nonnegative matrix factorization extreme learning machine
- Autorzy:
-
Xu, X.
Zhang, X.
Lu, L.
Deng, W.
Zuo, K - Powiązania:
- https://bibliotekanauki.pl/articles/173572.pdf
- Data publikacji:
- 2014
- Wydawca:
- Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
- Tematy:
-
extreme learning machine
palmprint recognition
superior speed
support vector machine (SVM) - Opis:
- Support vector machine and artificial neural network are widely used in classification applications. Extreme learning machine (ELM) is a novel and efficient learning algorithm based on the generalized single hidden layer feed forward networks, which performs well in classification applications. The research results have shown the superiority of ELM with the existing classical algorithms: support vector machine (SVM) and back propagation neural network. In this study, we firstly propose a novel nonnegative matrix factorization extreme learning machine (NMFELM) to improve the performance of standard ELM method. Then we propose a novel near-infrared palmprint recognition approach based on NMFELM classifier. As the test data, we use the near-infrared palmprint database provided by Hong Kong Polytechnic University. The experimental results demonstrate that the proposed NMFELM method outperforms the standard ELM- and SVM-based methods.
- Źródło:
-
Optica Applicata; 2014, 44, 2; 285-298
0078-5466
1899-7015 - Pojawia się w:
- Optica Applicata
- Dostawca treści:
- Biblioteka Nauki
Artykuł