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: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2010-11-01
|
| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/2094.pdf |
| _version_ | 1818539095387799552 |
|---|---|
| author | N. K. Narayanan V. Kabeer |
| author_facet | N. K. Narayanan V. Kabeer |
| author_sort | N. K. Narayanan |
| collection | DOAJ |
| description | 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%. |
| first_indexed | 2024-12-11T21:37:31Z |
| format | Article |
| id | doaj.art-550e95bcde9542ea9754bb2246763bda |
| institution | Directory Open Access Journal |
| issn | 1875-6883 |
| language | English |
| last_indexed | 2024-12-11T21:37:31Z |
| publishDate | 2010-11-01 |
| publisher | Springer |
| record_format | Article |
| series | International Journal of Computational Intelligence Systems |
| spelling | doaj.art-550e95bcde9542ea9754bb2246763bda2022-12-22T00:49:57ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832010-11-013510.2991/ijcis.2010.3.5.6Face Recognition Using Nonlinear Feature Parameter and Artificial Neural NetworkN. K. NarayananV. KabeerThe 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%.https://www.atlantis-press.com/article/2094.pdfFace recognitionFeature extractionState space parametersFractal dimensionArtificial Neural Networkand Pattern Classification. |
| spellingShingle | N. K. Narayanan V. Kabeer Face Recognition Using Nonlinear Feature Parameter and Artificial Neural Network International Journal of Computational Intelligence Systems Face recognition Feature extraction State space parameters Fractal dimension Artificial Neural Network and Pattern Classification. |
| title | Face Recognition Using Nonlinear Feature Parameter and Artificial Neural Network |
| title_full | Face Recognition Using Nonlinear Feature Parameter and Artificial Neural Network |
| title_fullStr | Face Recognition Using Nonlinear Feature Parameter and Artificial Neural Network |
| title_full_unstemmed | Face Recognition Using Nonlinear Feature Parameter and Artificial Neural Network |
| title_short | Face Recognition Using Nonlinear Feature Parameter and Artificial Neural Network |
| title_sort | face recognition using nonlinear feature parameter and artificial neural network |
| topic | Face recognition Feature extraction State space parameters Fractal dimension Artificial Neural Network and Pattern Classification. |
| url | https://www.atlantis-press.com/article/2094.pdf |
| work_keys_str_mv | AT nknarayanan facerecognitionusingnonlinearfeatureparameterandartificialneuralnetwork AT vkabeer facerecognitionusingnonlinearfeatureparameterandartificialneuralnetwork |