Adaptively Nearest Feature Point Classifier for Face Recognition

  • Qingxiang Feng
  • Jeng-Shyang Pan
  • Lijun Yan
  • Tien-Szu Pan
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 237)

Abstract

In this paper, an improved classifier based on the concept of feature line space, called as adaptively nearest feature point classifier (ANFP) is proposed for face recognition. ANFP classifier uses the new metric, called as adaptively feature point metric, which is different from metrics of NFL and the other classifiers. ANFP gain better performance than NFL classifier and some others classifiers based on feature line space, which is proved by the experiment result on Yale face database.

Keywords

Nearest Feature Line Nearest feature centre Nearest Neighbor Face Recognition 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Turk, M., Pentland, A.: Eigenfaces for recognition. Journal of Cognitive Neuroscience 3(1), 71–86 (1991)CrossRefGoogle Scholar
  2. 2.
    Belhumeur, P., Hespanha, J., Kriegman, D.: Eigenfaces vs. fisherfaces: recognition using class specific linear projection. IEEE Transactions on Pattern Analysis and Machine Intelligence 19(7), 711–720 (1997)CrossRefGoogle Scholar
  3. 3.
    Bartlett, M.S., Movellan, J.R., Sejnowski, T.J.: Face recognition by independent component analysis. IEEE Transactions on Neural Networks 13(6), 1450–1464 (2002)CrossRefGoogle Scholar
  4. 4.
    He, X., Yan, S., Hu, Y., Niyogi, P., Zhang, H.J.: Face recognition using laplacianfaces. IEEE Transactions on Pattern Analysis and Machine Intelligence 27(3), 1–13 (2005)CrossRefGoogle Scholar
  5. 5.
    Kekre, H.B., Shah, K.: Performance Comparison of Kekre’s Transform with PCA and Other Conventional Orthogonal Transforms for Face Recognition. Journal of Information Hiding and Multimedia Signal Processing 3(3), 240–247 (2012)Google Scholar
  6. 6.
    Zhou, X., Nie, Z., Li, Y.: Statistical analysis of human facial expressions. Journal of Information Hiding and Multimedia Signal Processing 1(3), 241–260 (2010)Google Scholar
  7. 7.
    Cover, T.M., Hart, P.E.: Nearest neighbor pattern classification. IEEE Trans. Inform. Theory 13(1), 21–27 (1967)CrossRefMATHGoogle Scholar
  8. 8.
    Li, S.Z., Lu, J.: Face Recognition Using the Nearest Feature Line Method. IEEE Transactionson Neural Networks 10(2), 439–443 (1999)CrossRefGoogle Scholar
  9. 9.
    Chien, J.T., Wu, C.C.: Discriminant waveletfaces and nearest feature classifiers for face recognition. IEEE Trans. Pattern Anal. Machine Intell. 24(12), 1644–1649 (2002)CrossRefGoogle Scholar
  10. 10.
    Lu, J., Tan, Y.-P.: Uncorrelated discriminant nearest feature line analysis for face recognition. IEEE Signal Process. Lett. 17(2), 185–188 (2010)CrossRefGoogle Scholar
  11. 11.
    Feng, Q., Pan, J.-S., Yan, L.: Restricted Nearest Feature Line with Ellipse for Face Recognition. Journal of Information Hiding and Multimedia Signal Processing 3(3), 297–305 (2012)Google Scholar
  12. 12.
    Feng, Q., Huang, C.-T., Yan, L.: Resprentation-based Nearest Feature Plane for Pattern Recognition. Journal of Information Hiding and Multimedia Signal Processing 4(3), 178–191 (2013)Google Scholar
  13. 13.
    Li, S.Z.: Content-based audio classification and retrieval using the nearest feature line method. IEEE Trans. Speech Audio Process. 8(5), 619–625 (2000)CrossRefGoogle Scholar
  14. 14.
    Chen, K., Wu, T.Y., Zhang, H.J.: On the use of nearest feature line for speaker identification. Pattern Recognition Lett. 23(14), 1735–1746 (2002)CrossRefMATHGoogle Scholar
  15. 15.
    Li, S.Z., Chan, K.L., Wang, C.L.: Performance evaluation of the nearest feature line method in image classification and retrieval. IEEE Trans. Pattern Anal. Machine Intell. 22(11), 1335–1339 (2000)CrossRefGoogle Scholar
  16. 16.
    Chen, J.H., Chen, C.S.: Object recognition based on image sequences by using inter-feature-line consistencies. Pattern Recognition 37(9), 1913–1923 (2004)CrossRefMATHGoogle Scholar
  17. 17.
    Zheng, W., Zhao, L., Zou, C.: Locally nearest neighbor classifiers for pattern classification. Pattern Recognition 37(6), 1307–1309 (2004)CrossRefMATHGoogle Scholar
  18. 18.
    Zhou, Y., Zhang, C., Wang, J.: Extended nearest feature line classifier. In: Zhang, C., Guesgen, H.W., Yeap, W.K. (eds.) PRICAI 2004. LNCS (LNAI), vol. 3157, pp. 183–190. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  19. 19.
    Zhou, Z., Kwoh, C.K.: The pattern classification based on the nearest feature midpoints. International Conference on Pattern Recognition 3, 446–449 (2000)Google Scholar
  20. 20.
    Han, D.Q., Han, C.Z., Yang, Y.: A Novel Classifier based on Shortest Feature Line Segment. Pattern Recognition Letters 32(3), 485–493 (2011)CrossRefGoogle Scholar
  21. 21.
    Feng, Q., Pan, J.S., Yan, L.: Nearest feature centre classifier for face recognition. Electronics Letters 48(18), 1120–1122 (2012)CrossRefGoogle Scholar
  22. 22.

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Qingxiang Feng
    • 1
  • Jeng-Shyang Pan
    • 1
  • Lijun Yan
    • 1
  • Tien-Szu Pan
    • 1
  1. 1.Shenzhen Graduate SchoolHarbin Institute of TechnologyShenzhenChina

Personalised recommendations