Skip to main content
SpringerLink
Log in

Face recognition algorithm based on wavelet transform and local linear embedding

  • Published:
Cluster Computing Aims and scope Submit manuscript

Abstract

In this paper, a face recognition fusion algorithm, namely WT-LLE-LSSVM, based on wavelet transform (WT) and local linear embedding (LLE) is proposed. Firstly, the face image is pre-processed, and decomposed by Wavelet Transform to obtain four components of face image; then, the LLE algorithm is carried out to extract the features from the four components respectively, and the weighted fusion is used to obtain the face recognition feature vector; Finally, least squares support vector machine (LSSVM) is conducted to learn the training samples with feature vector reduction, and the classifier of face recognition is established. In the case of different pixels, three face databases are chosen to test some main performance indexes such as recognition rate, speed and time of the algorithm. The simulation results show that compared with the traditional face recognition algorithm, the proposed algorithm can improve the face recognition rate, as well as the computing rate, and enhance the efficiency of face recognition.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21
Fig. 22
Fig. 23
Fig. 24

Similar content being viewed by others

References

  1. Wang, J.Y., Zhou, H.J., Ji, Z.: Research on face recognition technology in complex background. Comput. Eng. 8, 196–200 (2013)

    Google Scholar 

  2. Jinyi, W., Delong, Z.: Survey of face recognition. Appl. Res. Comput. 26(9), 3205–3209 (2009)

    Google Scholar 

  3. Jiang, W.T., Liu, W.J., Yuan, H.: Research of face recognition algorithm based on curved space field. Chin. J. Comput. 8(35), 1740–1750 (2012)

    Google Scholar 

  4. Lu, G.F., Lin, Z., Jin, Z.: Optimal discriminant analysis based on kernel extension of graph embedding and face recognition. J. Softw. 22(7), 1561–1570 (2011)

    Article  Google Scholar 

  5. Vinay, A., Shekhar, V.S., Murthy, K.N.B.: Face recognition using gabor wavelet features with PCA and KPCA—a comparative study. Proc. Comput. Sci. 57, 650–659 (2015)

    Article  Google Scholar 

  6. Qin, H., Sun, J., Wang, Q., et al.: Research of face recognition method based on adaptive pre-processing and PCA. Comput. Eng. Appl. 47(14), 186–188 (2011)

    Google Scholar 

  7. Kongzhen, L., Binghe, W., Hao, L.: Face recognition algorithm based on wavelet transform and 2DNMF. Appl. Res. Comput. 4, 167–169 (2013)

    Google Scholar 

  8. Lu, G.F., Lin, Z., Jin, Z.: Face recognition using discriminant locality preserving projections based on maximum margin criterion. Pattern Recogn. 43(14), 3572–3579 (2010)

    Article  MATH  Google Scholar 

  9. Wu, J., Wang, L.: Software defect prediction model based on LLE and SVM. Commun. Secur. Conf. 24, 1–5 (2014)

    Google Scholar 

  10. Junqian, S.: Applications of wavelet fazzy neral network in approximation non-linear functions. Comput. Digit. Eng. 41(1), 4–6 (2013)

    Google Scholar 

  11. Wu, W.J., Huang, D.G.: Research on fault diagnosis for rotating machinery vibration of aero engine based on wavelet transformation and probabilistic neural network. Adv. Mater. Res. 295(6), 2272–2278 (2011)

    Article  Google Scholar 

  12. Ouanan, H., Ouanan, M., Aksasse, B.: Face Recognition by Neural Networks based on Gabor filters and Random Projection. Int. J. Math. Comput. 26(2), 30–42 (2015)

    MathSciNet  Google Scholar 

  13. Singh, S., Agarwal, R.: Face recognition using the gabor wavelet transform and feed forward neural network. RIET-IJSET 3(11), 370–377 (2014)

    Google Scholar 

  14. Teresa, N., Stefan, P.: Face detection and recognition using back propagation neural network and Fourier gabor filters. Signal Image Process 2(3), 705–708 (2011)

    Google Scholar 

  15. Wang, X.Z., Li, Y.: Guo LH Face recognition algorithm based on BD-PCA and KNN. J. PLA Univ Sci Technol 11(6), 623–638 (2010)

    Google Scholar 

  16. Zhou, W.: Face recognition fellow up classification algorithm based on BP neural network. J. Comput. Appl. 31(2), 133–136 (2011)

    Google Scholar 

  17. Li, W.H., Liu, L.J., Gong, W.G.: Multi-object uniform design as a SVM model selection tool for face recognition. Expert Syst. Appl. 38(6), 6689–6695 (2011)

    Article  Google Scholar 

  18. Zhang, Z., Lai, J., Xie, X.: Face recognition based on fusion of high-frequency and low-frequency components. Acta Scientiarum Naturalium Universitatis Sunyatseni 52(4), 1–6 (2013)

    MathSciNet  MATH  Google Scholar 

  19. Indumathi, R., Palanivel, N.: Pose invariant face recognition using HMM and SVM using PCA for dimensionality reduction. In: Proceedings of the International Conference on Information Communication & Embedded Systems, pp. 1–6 (2015)

  20. Chunmao, J., Guoyin, Z., Zhicong, L.: Abnormal intrusion detection for embedded network system based on genetic algorithm SVM. Comput. Appl. Softw. 28(2), 287–289 (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Computer, Henan University of Engineering, Zhengzhou, 451191, Henan, China

    Yan Zhou, Yu Wang & Xu-hui Wang

Authors
  1. Yan Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yu Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Xu-hui Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yan Zhou.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhou, Y., Wang, Y. & Wang, Xh. Face recognition algorithm based on wavelet transform and local linear embedding. Cluster Comput 22 (Suppl 1), 1529–1540 (2019). https://doi.org/10.1007/s10586-018-2157-4

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10586-018-2157-4

Keywords

Search

Navigation