A Geometrical Approach for Age-Invariant Face Recognition

  • Amal Seralkhatem Osman Ali
  • Vijanth Sagayan a/l Asirvadam
  • Aamir Saeed Malik
  • Azrina Aziz
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8237)


Human faces undergo considerable amounts of variations with aging. While face recognition systems have proven to be sensitive to factors such as illumination and pose, their sensitivity to facial aging effects is yet to be studied. The FRVT (Face Recognition Vendor Test) report estimated a decrease in performance by approximately 5% for each year of age difference. Therefore, the development of age-invariant capability remains an important issue for robust face recognition. This research study proposed a geometrical model based on multiple triangular features for the purpose of handling the challenge of face age variations that affect the process of face recognition. The system is aimed to serve in real time applications where the test images are usually taken in random scales that may not be of the same scale as the probe image, along with orientation, lighting ,illumination, and pose variations. Multiple mathematical equations were developed and used in the process of forming distinct subject clusters. These clusters hold the results of applying the developed mathematical models over the FGNET face aging database. The system was able to achieve a maximum classification accuracy of above 99% when the system was tested over the entire FGNET database.


frvt age-invariant geometrical model triangular features similarity proportion ratios clustering fgnet 


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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Amal Seralkhatem Osman Ali
    • 2
  • Vijanth Sagayan a/l Asirvadam
    • 1
  • Aamir Saeed Malik
    • 1
  • Azrina Aziz
    • 1
  1. 1.Centre of Intelligent Signals and Imaging ResearchUniversiti Teknologi PETRONASTronohMalaysia
  2. 2.Department of Electric and Electronic EngineeringUniversiti Teknologi PETRONASTronohMalaysia

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