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An Automated Ear Localization Technique Based on Modified Hausdorff Distance

  • Partha Pratim SarangiEmail author
  • Madhumita Panda
  • B. S. P Mishra
  • Sachidananda Dehuri
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 460)

Abstract

Localization of ear in the side face images is a fundamental step in the development of ear recognition based biometric systems. In this paper, a well-known distance measure termed as modified Hausdorff distance (MHD) is proposed for automatic ear localization. We introduced the MHD to decrease the effect of outliers and allowing it more suitable for detection of ear in the side face images. The MHD uses coordinate pairs of edge pixels derived from ear template and skin regions of the side face image to locate the ear portion. To detect ears of various shapes, ear template is created by considering different structure of ears and resized it automatically for the probe image to find exact location of ear. The CVL and UND-E database have side face images with different poses, inconsistent background and poor illumination utilized to analyse the effectiveness of the proposed algorithm. Experimental results reveal the strength of the proposed technique is invariant to various poses, shape, occlusion, and noise.

Keywords

Biometrics Skin-color segmentation Hausdorff distance Ear localization Ear varification 

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Copyright information

© Springer Science+Business Media Singapore 2017

Authors and Affiliations

  • Partha Pratim Sarangi
    • 1
    Email author
  • Madhumita Panda
    • 2
  • B. S. P Mishra
    • 1
  • Sachidananda Dehuri
    • 3
  1. 1.School of Computer EngineeringKIIT UniversityBhubaneswarIndia
  2. 2.Department of MCASeemanta Engineering CollegeJharpokhariaIndia
  3. 3.Department of ICTFM UniversityBalasoreIndia

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