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Face Recognition using Local Binary Patterns

Yıl 2020, Cilt: 16 Sayı: 2, 202 - 207, 30.12.2020

Özlem Orhan Muhammed Milani Bahar Milani

Öz

Face recognition is one of the topics from which it is difficult to prepare a complete computational model. Unlike other detection's these are a high-level task, and a variety of methods have been proposed. On the other hand, face recognition is needed as a suitable data source for various applications that lead to the recognition of individuals. In this article, we will examine this issue and consider a method based on Local Binary Patterns and provide algorithms for it. The results analyzed in this method show its efficiency.

Anahtar Kelimeler

Face recognition LBP Detection Image analysis

Kaynakça

  • Hjelmås, E., & Low, B. K. (2001). Face detection: A survey. Computer vision and image understanding, 83(3), 236-274.
  • Yang, M. H., Kriegman, D. J., & Ahuja, N. (2002). Detecting faces in images: A survey. IEEE Transactions on pattern analysis and machine intelligence, 24(1), 34-58.
  • Rakshit, P., Basu, R., Paul, S., Bhattacharyya, S., Mistri, J., & Nath, I. (2020). Face Detection using Support Vector Mechine with PCA. Available at SSRN 3515989.
  • Viola, P., Jones, M. J., & Snow, D. (2005). Detecting pedestrians using patterns of motion and appearance. International Journal of Computer Vision, 63(2), 153-161.
  • Goldstein, A. J., Harmon, L. D., & Lesk, A. B. (1971). Identification of human faces. Proceedings of the IEEE, 59(5), 748-760.
  • Solanki, K., & Pittalia, P. (2016). Review of face recognition techniques. International Journal of Computer Applications, 133(12), 20-24.
  • Sirovich, L., & Kirby, M. (1987). Low-dimensional procedure for the characterization of human faces. Josa a, 4(3), 519-524
  • Kim, T. K., & Kittler, J. (2005). Locally linear discriminant analysis for multimodally distributed classes for face recognition with a single model image. IEEE transactions on pattern analysis and machine intelligence, 27(3), 318-327.
  • Ahonen, T., Hadid, A., & Pietikainen, M. (2006). Face description with local binary patterns: Application to face recognition. IEEE transactions on pattern analysis and machine intelligence, 28(12), 2037-2041 [ Meng, J., Gao, Y., Wang, X., Lin, T., & Zhang, J. (2010, August). Face recognition based on local binary patterns with threshold. In 2010 IEEE International Conference on Granular Computing (pp. 352-356). IEEE.
  • Nagpal, S., Singh, M., Singh, R., & Vatsa, M. (2019). Deep learning for face recognition: Pride or prejudiced?. arXiv preprint arXiv:1904.01219.
  • Prasad, P. S., Pathak, R., Gunjan, V. K., & Rao, H. R. (2020). Deep learning based representation for face recognition. In ICCCE 2019 (pp. 419-424). Springer, Singapore.
  • Mandal, T., Majumdar, A., & Wu, Q. J. (2007, August). Face recognition by curvelet based feature extraction. In International Conference Image Analysis and Recognition (pp. 806-817). Springer, Berlin, Heidelberg.
  • Ramesha, K. B. R. K., Raja, K. B., Venugopal, K. R., & Patnaik, L. M. (2010). Feature extraction-based face recognition, gender and age classification.
  • Wei, J., Jian-Qi, Z., & Xiang, Z. (2011). Face recognition method based on support vector machine and particle swarm optimization. Expert Systems with Applications, 38(4), 4390-4393.
  • Guo, G., & Zhang, N. (2019). A survey on deep learning based face recognition. Computer Vision and Image Understanding, 189, 102805.

Yıl 2020, Cilt: 16 Sayı: 2, 202 - 207, 30.12.2020

Özlem Orhan Muhammed Milani Bahar Milani

Öz

Kaynakça

  • Hjelmås, E., & Low, B. K. (2001). Face detection: A survey. Computer vision and image understanding, 83(3), 236-274.
  • Yang, M. H., Kriegman, D. J., & Ahuja, N. (2002). Detecting faces in images: A survey. IEEE Transactions on pattern analysis and machine intelligence, 24(1), 34-58.
  • Rakshit, P., Basu, R., Paul, S., Bhattacharyya, S., Mistri, J., & Nath, I. (2020). Face Detection using Support Vector Mechine with PCA. Available at SSRN 3515989.
  • Viola, P., Jones, M. J., & Snow, D. (2005). Detecting pedestrians using patterns of motion and appearance. International Journal of Computer Vision, 63(2), 153-161.
  • Goldstein, A. J., Harmon, L. D., & Lesk, A. B. (1971). Identification of human faces. Proceedings of the IEEE, 59(5), 748-760.
  • Solanki, K., & Pittalia, P. (2016). Review of face recognition techniques. International Journal of Computer Applications, 133(12), 20-24.
  • Sirovich, L., & Kirby, M. (1987). Low-dimensional procedure for the characterization of human faces. Josa a, 4(3), 519-524
  • Kim, T. K., & Kittler, J. (2005). Locally linear discriminant analysis for multimodally distributed classes for face recognition with a single model image. IEEE transactions on pattern analysis and machine intelligence, 27(3), 318-327.
  • Ahonen, T., Hadid, A., & Pietikainen, M. (2006). Face description with local binary patterns: Application to face recognition. IEEE transactions on pattern analysis and machine intelligence, 28(12), 2037-2041 [ Meng, J., Gao, Y., Wang, X., Lin, T., & Zhang, J. (2010, August). Face recognition based on local binary patterns with threshold. In 2010 IEEE International Conference on Granular Computing (pp. 352-356). IEEE.
  • Nagpal, S., Singh, M., Singh, R., & Vatsa, M. (2019). Deep learning for face recognition: Pride or prejudiced?. arXiv preprint arXiv:1904.01219.
  • Prasad, P. S., Pathak, R., Gunjan, V. K., & Rao, H. R. (2020). Deep learning based representation for face recognition. In ICCCE 2019 (pp. 419-424). Springer, Singapore.
  • Mandal, T., Majumdar, A., & Wu, Q. J. (2007, August). Face recognition by curvelet based feature extraction. In International Conference Image Analysis and Recognition (pp. 806-817). Springer, Berlin, Heidelberg.
  • Ramesha, K. B. R. K., Raja, K. B., Venugopal, K. R., & Patnaik, L. M. (2010). Feature extraction-based face recognition, gender and age classification.
  • Wei, J., Jian-Qi, Z., & Xiang, Z. (2011). Face recognition method based on support vector machine and particle swarm optimization. Expert Systems with Applications, 38(4), 4390-4393.
  • Guo, G., & Zhang, N. (2019). A survey on deep learning based face recognition. Computer Vision and Image Understanding, 189, 102805.
Toplam 15 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Makaleler
Yazarlar

Özlem Orhan 0000-0003-0058-0431

Muhammed Milani 0000-0002-5295-4215

Bahar Milani 0000-0003-2450-0280

Yayımlanma Tarihi 30 Aralık 2020
Gönderilme Tarihi 26 Aralık 2020
Yayımlandığı Sayı Yıl 2020 Cilt: 16 Sayı: 2

Kaynak Göster

APA Orhan, Ö., Milani, M., & Milani, B. (2020). Face Recognition using Local Binary Patterns. Electronic Letters on Science and Engineering, 16(2), 202-207.
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