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Age-Invariant Face Recognition Technique Using Facial Geometry

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Soft Computing Applications and Intelligent Systems (M-CAIT 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 378))

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Abstract

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. 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 aim to serve in real time applications were 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 where developed and used in the process of forming distinct subjects clusters. These clusters hold the results of applying the developed mathematical models over the FGNET face aging database.

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Author information

Authors and Affiliations

  1. Centre of Intelligent Signals and Imaging Research, Universiti Teknologi PETRONAS, 31750, Tronoh, Perak, Malaysia

    Amal Seralkhatem Osman Ali, Aamir Saeed Malik & Azrina Aziz

  2. Department of Electric and Electronic Engineering, Universiti Teknologi PETRONAS, 31750, Tronoh, Perak, Malaysia

    Amal Seralkhatem Osman Ali & Vijanth Sagayan a/l Asirvadam

Authors
  1. Amal Seralkhatem Osman Ali
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  2. Vijanth Sagayan a/l Asirvadam
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  3. Aamir Saeed Malik
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  4. Azrina Aziz
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Editor information

Editors and Affiliations

  1. Faculty of Information Science & Technology, University Kebangsaan Malaysia, Bangi, Selangor, Malaysia

    Shahrul Azman Noah

  2. Center for Artificial Intelligence Technology (CAIT), Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 UKM, Bangi, Selangor D. E, Malaysia

    Azizi Abdullah

  3. Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor Darul Ehsan, Malaysia

    Haslina Arshad , Zulaiha Ali Othman  & Zalinda Othman ,  & 

  4. School of Computer Science, FTSM, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor Darul Ehsan, Malaysia

    Azuraliza Abu Bakar

  5. Pattern Recognition Research Group, CAIT, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia

    Shahnorbanun Sahran

  6. Faculty of Information Science & IT, National University of Malaysia, 43600, Bangi, Selangor, Malaysia

    Nazlia Omar

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© 2013 Springer-Verlag Berlin Heidelberg

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Osman Ali, A.S., Asirvadam, V.S.a., Malik, A.S., Aziz, A. (2013). Age-Invariant Face Recognition Technique Using Facial Geometry. In: Noah, S.A., et al. Soft Computing Applications and Intelligent Systems. M-CAIT 2013. Communications in Computer and Information Science, vol 378. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40567-9_8

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  • DOI: https://doi.org/10.1007/978-3-642-40567-9_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40566-2

  • Online ISBN: 978-3-642-40567-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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