Face Recognition Using Nonlinear Feature Parameter and Artificial Neural Network
The paper reports a study of nonlinear nature of face image. A novel feature extraction method using state space feature parameter for the recognition of face images is studied. The results of simulation experiments performed on the standard AT & T face database using both Artificial Neural Netw...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2010-11-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/2094.pdf |
| Summary: | The paper reports a study of nonlinear nature of face image. A novel feature extraction method using state space feature parameter for the recognition of face images is studied. The results of simulation experiments performed on the standard AT & T face database using both Artificial Neural Network and K-Nearest Neighbour recognition algorithms based on Nonlinear Feature Parameter (NLFP) is also presented. Overall recognition accuracy obtained is better for ANN algorithm and is 98.5%. |
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| ISSN: | 1875-6883 |