Skip to main content
SpringerLink
Log in

Improved Fusion of SVD and Relevance Weighted LDA Algorithms via Symmetric Sum‑Based Rules for Face Recognition

  • Conference paper
  • First Online:
Digital Technologies and Applications (ICDTA 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 669))

Included in the following conference series:

  • 695 Accesses

Abstract

In this paper, we propose a new extension of the score level fusion of SVD (singular value decomposition) and RWLDA (relevance weighted linear discriminant analysis using QR decomposition) algorithms for face recognition called Improved DWT (SVD + RWLDA). The proposed extension exploits new techniques based on the symmetric sum using triangular norms. Experiments on two established data sets demonstrate that our approach enhances the face recognition rate compared to the original version.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 299.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Maafiri, A., Bir-Jmel, A., Elharrouss, O., Khelifi, F., Chougdali, K.: Lwkpca: A new robust method for face recognition under adverse conditions. IEEE Access 10, 64819–64831 (2022)

    Article  Google Scholar 

  2. Bir-Jmel, A., Douiri, S.M., Elbernoussi, S.: Gene selection via bpso and backwards generation for cancer classification. RAIRO-Oper. Res. 53(1), 269–288 (2019)

    Article  MathSciNet  MATH  Google Scholar 

  3. Bir-Jmel, A., Douiri, S.M., Elbernoussi, S.: Gene selection via a new hybrid ant colony optimization algorithm for cancer classification in high dimensional data. Computational and mathematical methods in medicine 2019 (2019)

    Google Scholar 

  4. Hasan, B.M.S., Abdulazeez, A.M.: A review of principal component analysis algorithm for dimensionality reduction. J. Soft Comput. Data Min. 2(1), 20–30 (2021)

    Google Scholar 

  5. Benkhaira, S., Layeb, A.: Face recognition using rlda method based on mutated cuckoo search algorithm to extract optimal features. Int. J. Appl. Metaheuristic Comput. (IJAMC) 11(2), 118–133 (2020)

    Article  Google Scholar 

  6. Chougdali, K., Jedra, M., Zahid, N.: Using Wavelets based Feature Extraction and Relevance Weighted LDA for Face Recognition. PRIS, 183–188 (2007)

    Google Scholar 

  7. Maafiri, A., Chougdali, K.: New fusion of svd and relevance weighted lda for face recognition. Procedia Comput. Sci. 148, 380–388 (2019)

    Article  Google Scholar 

  8. Cheniti, M., Boukezzoula, N.-E., Akhtar, Z.: Symmetric sum-based biometric score fusion. IET Biometrics 7(5), 391–395 (2018)

    Article  Google Scholar 

  9. Pang, Y., Yu, N., Zhang, R., Rong, J., Liu, Z.: Fusion of svd and lda for face recognition. In: 2004 International Conference on Image Processing 2004. ICIP 2004, vol. 2, pp. 1417–1420 (2004). IEEE

    Google Scholar 

  10. Hsu, C.-H., Chen, C.-C.: SVD-based projection for face recognition. In:2007 IEEE International Conference on Electro/Information Technology, pp. 600–603. IEEE (2007)

    Google Scholar 

  11. Fukuaga, K.: Introduction to statistical pattern classification. Patt. Recognit 30(7), 1145–1149 (1990)

    Google Scholar 

  12. Fisher, R.A.: The use of multiple measurements in taxonomic problems. Ann. Eugen. 7(2), 179–188 (1936)

    Article  Google Scholar 

  13. Duin, R.P.W., Haeb-Umbach, R.: Multiclass linear dimension reduction by weighted pairwise fisher criteria. IEEE Trans. Pattern Anal. Mach. Intell. 23(7), 762–766 (2001)

    Article  Google Scholar 

  14. Tang, E.K., Suganthan, P.N., Yao, X., Qin, A.K.: Linear dimensionality reduction using relevance weighted lda. Pattern Recogn. 38(4), 485–493 (2005)

    Article  MATH  Google Scholar 

  15. Chougdali, K., Jedra, M., Zahid, N.: Kernel relevance weighted discriminant analysis for face recognition. Pattern Anal. Appl. 13(2), 213–221 (2010)

    Article  MathSciNet  Google Scholar 

  16. Hanmandlu, M., Grover, J., Gureja, A., Gupta, H.M.: Score level fusion of multimodal biometrics using triangular norms. Pattern Recogn. Lett. 32(14), 1843–1850 (2011)

    Article  Google Scholar 

  17. Cambridge, A.: The orl database of faces. Cambridge, UK [Online] (2016)

    Google Scholar 

  18. Nefian, A.: Georgia tech face database 1999. http://www.anefian.com/research/facereco.htm

  19. Karanwal, S., Diwakar, M.: Two novel color local descriptors for face recognition. Optik 226, 166007 (2021)

    Article  Google Scholar 

  20. Karanwal, S.: A comparative study of 14 state of art descriptors for face recognition. Multimedia Tools Appl. 80(8), 12195–12234 (2021). https://doi.org/10.1007/s11042-020-09833-2

    Article  Google Scholar 

  21. Maafiri, A., Chougdali, K.: Robust face recognition based on a new kernel PCA using RRQR factorization. Intell. Data Anal. 25(5), 1233–1245 (2021)

    Article  Google Scholar 

  22. Ouyang, A., Liu, Y., Pei, S., Peng, X., He, M., Wang, Q.: A hybrid improved kernel LDA and PNN algorithm for efficient face recognition. Neurocomputing 393, 214–222 (2020)

    Article  Google Scholar 

  23. Dora, L., Agrawal, S., Panda, R., Abraham, A.: An evolutionary single gabor kernel based filter approach to face recognition. Eng. Appl. Artif. Intell. 62, 286–301 (2017)

    Article  Google Scholar 

  24. Karanwal, S., Diwakar, M.: Neighborhood and center difference-based-LBP for face recognition. Pattern Anal. Appl. 24(2), 741–761 (2021)

    Article  Google Scholar 

  25. Fan, X., Liu, K., Yi, H.: Joint collaborative representation algorithm for face recognition. J. Supercomput. 75(5), 2304–2314 (2018). https://doi.org/10.1007/s11227-018-2606-0

    Article  Google Scholar 

  26. Gou, J., Song, J., Ou, W., Zeng, S., Yuan, Y., Du, L.: Representation based classification methods with enhanced linear reconstruction measures for face recognition. Comput. Electr. Eng. 79, 106451 (2019)

    Article  Google Scholar 

  27. Zhang, G., Zou, W., Zhang, X., Zhao, Y.: Singular value decomposition based virtual representation for face recognition. Multimedia Tools Appl. 77(6), 7171–7186 (2017). https://doi.org/10.1007/s11042-017-4627-8

    Article  Google Scholar 

  28. Maafiri, A., Chougdali, K.: Face recognition using wavelets based feature extraction and pca-l1 norm. In: 2019 International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN), pp. 1–4 (2019). IEEE

    Google Scholar 

  29. Qin, Y., Sun, L., Xu, Y.: Exploring of alternative representations of facial images for face recognition. Int. J. Mach. Learn. Cybern. 11(10), 2289–2295 (2020). https://doi.org/10.1007/s13042-020-01116-4

    Article  Google Scholar 

  30. He, K., Peng, Y., Liu, S., Li, J.: Regularized negative label relaxation least squares regression for face recognition. Neural Processing Letters, 1–19 (2020)

    Google Scholar 

  31. Muqeet, M.A., Holambe, R.S.: Local binary patterns based on directional wavelet transform for expression and pose-invariant face recognition. Appl. Comput. Inform. 15(2), 163–171 (2019)

    Article  Google Scholar 

  32. Wei, Y.: Face recognition method based on improved lda. In: 2017 9thInternational Conference on Intelligent Human‒Machine Systems and Cybernetics (IHMSC), vol. 2, pp. 456–459 (2017). IEEE

    Google Scholar 

  33. Song, G., He, D., Chen, P., Tian, J., Zhou, B., Luo, L.: Fusion of global and local Gaussian-hermite moments for face recognition. In: Wang, Y., Huang, Q., Peng, Y. (eds.) IGTA 2019. CCIS, vol. 1043, pp. 172–183. Springer, Singapore (2019). https://doi.org/10.1007/978-981-13-9917-6_17

    Chapter  Google Scholar 

  34. Aldhahab, A., Mikhael, W.B.: A facial recognition method based on DMW transformed partitioned images. In: 2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS), pp. 1352–1355 (2017). IEEE

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Engineering Science Laboratory, National School of Applied Sciences (ENSA), Ibn Tofail University, Kenitra, Morocco

    Ayyad Maafiri & Khalid Chougdali

  2. Laboratory of Mathematics, Computer Science and Applications-Security of Information, Department of Mathematics, Faculty of Sciences, Mohammed V University, 1014, Rabat, Morocco

    Ahmed Bir-Jmel

  3. Faculty of Sciences, Mohamed First University, Oujda, Morocco

    Nabil Ababou

Authors
  1. Ayyad Maafiri
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Khalid Chougdali
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ahmed Bir-Jmel
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Nabil Ababou
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ayyad Maafiri .

Editor information

Editors and Affiliations

  1. Ecole Nationale des Sciences Appliquées, Fez, Morocco

    Saad Motahhir

  2. Faculty of Sciences, Sidi Mohamed Ben Abdellah University, Fez, Morocco

    Badre Bossoufi

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Maafiri, A., Chougdali, K., Bir-Jmel, A., Ababou, N. (2023). Improved Fusion of SVD and Relevance Weighted LDA Algorithms via Symmetric Sum‑Based Rules for Face Recognition. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2023. Lecture Notes in Networks and Systems, vol 669. Springer, Cham. https://doi.org/10.1007/978-3-031-29860-8_48

Download citation

Publish with us

Policies and ethics

Search

Navigation