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Automatic Eye Detection in Face Images for Unconstrained Biometrics Using Genetic Programming

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Swarm, Evolutionary, and Memetic Computing (SEMCCO 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8298))

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Abstract

Automatic extraction of eyes is a very important step in face detection and recognition system since eyes are one of the most stable features of the human face. In this paper, we present a novel technique using genetic programming for determining the classifier function to be used in the automatic detection of eyes in facial images. The feature terminals fed to the system are Gabor wavelet filtered image, mean, standard deviation and vertical position. Gabor wavelet transform has the optimal basis to extract local features. To find the Gabor wavelet to filter the image, we make use of Levenberg-Marquardt optimization. For the fitness function, we have used the concept of localization fitness, which is incorporated in the calculation of the precision and recall values to be included in fitness. We tested our system on the face images from the ORL databases and have presented our results. The result shows the effectiveness and flexibility provided by genetic programming in deciding the classifier for the detection of eyes in face images.

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Author information

Authors and Affiliations

  1. Technical Consultant, IRDC India, Mumbai, Thane, India

    Chandrashekhar Padole & Joanne Athaide

  2. Research Scholar at Dept. of Informatics, University of Beira Interior, Covilha, Portugal

    Chandrashekhar Padole

  3. Design Engineer, CoMira Solutions Inc, Pittsburgh, Pennsylvania, USA

    Joanne Athaide

Authors
  1. Chandrashekhar Padole
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  2. Joanne Athaide
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Editor information

Editors and Affiliations

  1. Electrical Engineering Dept, IIT Delhi, Hauz Khas, 110016, New Delhi, India

    Bijaya Ketan Panigrahi

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, 639798, Singapore

    Ponnuthurai Nagaratnam Suganthan

  3. Electronics and Communication Sciences Unit, Indian Statistical Institute, 700108, Kolkata, India

    Swagatam Das

  4. SRM Engineering College, Department of Electrical and Electronics Engineering, SRM University, Potheri, Kattankulathur, 603203, Kancheepuram, Tamil Nadu, India

    Shubhransu Sekhar Dash

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Padole, C., Athaide, J. (2013). Automatic Eye Detection in Face Images for Unconstrained Biometrics Using Genetic Programming. In: Panigrahi, B.K., Suganthan, P.N., Das, S., Dash, S.S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2013. Lecture Notes in Computer Science, vol 8298. Springer, Cham. https://doi.org/10.1007/978-3-319-03756-1_33

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  • DOI: https://doi.org/10.1007/978-3-319-03756-1_33

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03755-4

  • Online ISBN: 978-3-319-03756-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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