Name
Abstract | ||
|---|---|---|
A hybrid method by combining probabilistic neural network (PNN) with linear discriminant analysis (LDA) for face recognition is proposed in this paper. At the first place, the LDA method is employed to reduce the dimensions of sample feature, and then a PNN method is adopted for solving the problems of face recognition. The proposed method not only saves computing time of the whole implementation, but also improves computing efficiency and precision of the hybird algorithm. Experimental simulation results indicate that the LDA-PNN method gets a good performance in classification in handling the standard databases. |
Year | Venue | Keywords |
|---|---|---|
2017 | 2017 13TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD) | dimension reduction, face recognition, feature extraction, linear discriminant analysis, probabilistic neural network |
Field | DocType | Citations |
Facial recognition system,Hybrid algorithm,Computer science,Probabilistic neural network,Artificial intelligence,Linear discriminant analysis,Artificial neural network,Machine learning | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aijia Ouyang | 1 | 159 | 19.34 |
| Shengyu Pei | 2 | 9 | 1.22 |
| Ya Wang | 3 | 7 | 4.07 |
| Xuyu Peng | 4 | 7 | 3.13 |