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Ear Detection in 2D

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Ear Biometrics in 2D and 3D

Part of the book series: Augmented Vision and Reality ((Augment Vis Real,volume 10))

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Abstract

This chapter presents an efficient technique for automatic localization of ear from side face images. The technique is rotation, scale and shape invariant and makes use of the connected components in a graph obtained from the edge map of the side face image. It has been evaluated on IIT Kanpur database consisting of side faces with variable sizes, rotations and shapes and University of Notre Dame database containing side faces with variable background and poor illumination. Experimental results reveal the efficiency and robustness of the technique.

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Notes

  1. 1.

    Edge junction is a pixel where an edge divides into two or more edges.

  2. 2.

    Edges which have curvature throughout either positive or negative are considered convex.

  3. 3.

    Convex hull for an edge is a tightest convex polygon which includes all edge points.

  4. 4.

    In this work, “arc” signifies the notion of an edge in a graph. The word “edge” is used in the context of an edge in an image which is a set of connected pixels representing points of high intensity gradient in the image.

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Authors and Affiliations

  1. Computer Science and Engineering, Indian Institute of Technology Indore, Indore, India

    Surya Prakash

  2. Computer Science and Engineering, Indian Institute of Technology Kanpur, Kanpur, India

    Phalguni Gupta

Authors
  1. Surya Prakash
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  2. Phalguni Gupta
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Correspondence to Surya Prakash .

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© 2015 Springer Science+Business Media Singapore

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Prakash, S., Gupta, P. (2015). Ear Detection in 2D. In: Ear Biometrics in 2D and 3D. Augmented Vision and Reality, vol 10. Springer, Singapore. https://doi.org/10.1007/978-981-287-375-0_2

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  • DOI: https://doi.org/10.1007/978-981-287-375-0_2

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-287-374-3

  • Online ISBN: 978-981-287-375-0

  • eBook Packages: EngineeringEngineering (R0)

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