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Research Article | Open Access |

Hybrid Feature Extraction Technique for Face Recognition

Author 1: Sangeeta N Kakarwal Author 2: Ratnadeep R. Deshmukh
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 3, No. 2 · Published 2012 · Cited by 13

DOI: https://doi.org/10.14569/IJACSA.2012.030210

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Abstract

This paper presents novel technique for recognizing faces. The proposed method uses hybrid feature extraction techniques such as Chi square and entropy are combined together. Feed forward and self-organizing neural network are used for classification. We evaluate proposed method using FACE94 and ORL database and achieved better performance.

Keywords

Biometric Chi square test Entropy FFNN SOM.

How to Cite this Article

Kakarwal, S. N., & Deshmukh, R. R. (2012). Hybrid Feature Extraction Technique for Face Recognition. International Journal of Advanced Computer Science and Applications, 3(2). https://doi.org/10.14569/IJACSA.2012.030210

Kakarwal, Sangeeta N, and Ratnadeep R. Deshmukh. "Hybrid Feature Extraction Technique for Face Recognition." International Journal of Advanced Computer Science and Applications, vol. 3, no. 2, 2012, https://doi.org/10.14569/IJACSA.2012.030210.

@article{Kakarwal2012,
  title     = {Hybrid Feature Extraction Technique for Face Recognition},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {3},
  number    = {2},
  year      = {2012},
  publisher = {The Science and Information Organization},
  author    = {Sangeeta N Kakarwal and Ratnadeep R. Deshmukh},
  doi       = {10.14569/IJACSA.2012.030210},
  url       = {https://doi.org/10.14569/IJACSA.2012.030210}
}

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