Age-Invariant Face Recognition Using Shape Transformation

  • Shubham Jain
  • Aditya Nigam
  • Phalguni Gupta
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7995)


This paper proposes a novel facial image transformation that minimizes the variation due to aging in facial features. It transforms a face image of an individual according to the probe image to register the facial features. The images are globally registered using Delaunay triangulation which reduces the linear variation in individual’s appearance due to aging. Finally, weighted Local Binary Patterns are used to calculate the similarity between the registered images. The proposed approach has been tested on the publicly available FG-NET database [2] and a self-created BROWNS database. It is found to be robust to aging variation to a good extent. Gain in Rank-1 accuracies of 18.36 % and 17.37 % have been achieved on FG-NET and BROWNS database respectively.


Biometrics Face Recognition Age-Invariant AAM LBP 


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  1. 1.
    Ahonen, T., Hadid, A., Pietikäinen, M.: Face Recognition with Local Binary Patterns. In: Pajdla, T., Matas, J.(G.) (eds.) ECCV 2004. LNCS, vol. 3021, pp. 469–481. Springer, Heidelberg (2004)Google Scholar
  2. 2.
    Cootes, T.: The Fg-Net Aging Database,
  3. 3.
    Cootes, T.F., Edwards, G.J., Taylor, C.J.: Active Appearance Models. IEEE Transactions on Pattern Analysis and Machine Intelligence 23(6), 681–685 (2001)CrossRefGoogle Scholar
  4. 4.
    Geng, X., Zhou, Z.-H., Smith-Miles, K.: Automatic age estimation based on facial aging patterns. IEEE Transactions on Pattern Analysis and Machine Intelligence 29(12), 2234–2240 (2007)CrossRefGoogle Scholar
  5. 5.
    Gong, S., McKenna, S.J.: Dynamic Vision: from Images to Face Recognition, 1st edn. Imperial College Press, London (2000)CrossRefGoogle Scholar
  6. 6.
    Goshtasby, A.: Piecewise Linear Mapping Functions for Image Registration. Pattern Recognition 19(6), 459–466 (1986)CrossRefGoogle Scholar
  7. 7.
    Kang, H., Cootes, T.F., Taylor, C.J.: A Comparison of Face Verification Algorithms Using Appearance Models. In: Proceedings of the 13th British Machine Vision Conference (BMVC 2002), vol. 2, pp. 477–486 (2002)Google Scholar
  8. 8.
    Lanitis, A., Taylor, C., Cootes, T.: Toward Automatic Simulation of Aging Effects on Face Images. IEEE Transactions on Pattern Analysis and Machine Intelligence 24(4), 442–455 (2002)CrossRefGoogle Scholar
  9. 9.
    Leach, G.: Improving Worst-Case Optimal Delaunay Triangulation Algorithms. In: Proceedings of the 4th Canadian Conference on Computational Geometry, vol. 15 (1992)Google Scholar
  10. 10.
    Nixon, N., Galassi, P.: The Brown Sisters: Thirty-Three Years. Museum of Modern Art (2007)Google Scholar
  11. 11.
    Park, U., Tong, Y., Jain, A.K.: Age-invariant Face Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 32(5), 947–954 (2010)CrossRefGoogle Scholar
  12. 12.
    Scherbaum, K.: Prediction of Individual Non-Linear Aging Trajectories of Faces. Computer Graphics Forum. 26(3), 285–294 (2007)CrossRefGoogle Scholar
  13. 13.
    Tang, F., Deng, B.: Facial Expression Recognition Using AAM and Local Facial Features. In: Proceedings of the Third International Conference on Natural Computation, vol. 2, pp. 632–635 (2007)Google Scholar
  14. 14.
    Wang, J., Shang, Y., Su, G., Lin, X.: Age simulation for Face Recognition. In: Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), vol. 3, pp. 913–916 (2006)Google Scholar
  15. 15.
    Wu, Y., Thalmann, N.M., Thalmann, D.: A Dynamic Wrinkle Model in Facial Animation and Skin Aging. The Journal of Visualization and Computer Animation 6(4), 195–202 (1995)CrossRefGoogle Scholar
  16. 16.
    Zuiderveld, K.: Contrast Limited Adaptive Histogram Equalization. In: Graphics Gems iv, pp. 474–485 (1994)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Shubham Jain
    • 1
  • Aditya Nigam
    • 1
  • Phalguni Gupta
    • 1
  1. 1.Department of Computer Science and EngineeringIndian Institute of Technology KanpurKanpurIndia

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