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Advances in Optical Science and Engineering pp 335–343Cite as

Pose Invariant Face Recognition Technique Based on Eigen Space Approach Using Dual Registration Techniques After Masking

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Part of the book series: Springer Proceedings in Physics ((SPPHY,volume 194))

Abstract

A novel method is proposed to solve different pose related problems related to face images in recognition system. The method removes the background of the image using masking. Subsequently, both training and testing images are registered by manual landmark detection and modeling the mapping process using affine transformation. The proposed method is found to solve the complications during scaling and rotation. Another registration method based on log-polar transformation is then proposed. Application of this method is found to improve arbitrary rotation angles and scale change. Lastly, log-polar images are projected into eigen space. These eigenface images are classified with the help of Euclidean distance. In the simulation based experimentation, IRIS face database is used. Recognition rate applying the proposed method is found to be 89.65%.

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Author information

Authors and Affiliations

  1. Department of IT, Women’s College, Agartala, Tripura, 799004, India

    Tumpa Dey

  2. Department of ECE and EIE, NIT Agartala, Jirania, Agartala, Tripura, 799055, India

    Dibyendu Ghoshal

Authors
  1. Tumpa Dey
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  2. Dibyendu Ghoshal
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Corresponding author

Correspondence to Dibyendu Ghoshal .

Editor information

Editors and Affiliations

  1. Research and Development Cell, University of Engineering & Management, Kolkata, West Bengal, India

    Indrani Bhattacharya

  2. University of Engineering & Management, Kolkata, West Bengal, India

    Satyajit Chakrabarti

  3. School of Engineering, London South Bank University, London, United Kingdom

    Haricharan Singh Reehal

  4. Optometry (Vision Science), Physics, Electrical and Computer Engineering and Systems Design Engineering, University of Waterloo, Waterloo, Ontario, Canada

    Vasudevan Lakshminarayanan

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© 2017 Springer Nature Singapore Pte Ltd.

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Dey, T., Ghoshal, D. (2017). Pose Invariant Face Recognition Technique Based on Eigen Space Approach Using Dual Registration Techniques After Masking. In: Bhattacharya, I., Chakrabarti, S., Reehal, H., Lakshminarayanan, V. (eds) Advances in Optical Science and Engineering. Springer Proceedings in Physics, vol 194. Springer, Singapore. https://doi.org/10.1007/978-981-10-3908-9_41

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  • DOI: https://doi.org/10.1007/978-981-10-3908-9_41

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3907-2

  • Online ISBN: 978-981-10-3908-9

  • eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)

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