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Authors: Milad Lankarany and Alireza Ahmadyfard

Affiliation: Shahrood University of Technology, Iran, Islamic Republic of

Keyword(s): Ear Biometrics, Ear Segmentation, Topographic Features.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Feature Extraction ; Features Extraction ; Image and Video Analysis ; Informatics in Control, Automation and Robotics ; Segmentation and Grouping ; Signal Processing, Sensors, Systems Modeling and Control ; Surface Geometry and Shape

Abstract: Ear segmentation is considered as the first step of all ear biometrics systems while the objective in separating the ear from its surrounding backgrounds is to improve the capability of automatic systems used for ear recognition. To meet this objective in the context of ear biometrics a new automatic algorithm based on topographic labels is presented here. The proposed algorithm contains four stages. First we extract topographic labels from the ear image. Then using the map of regions for three topographic labels namely, ridge, convex hill and convex saddle hill we build a composed set of labels. The thresholding on this labelled image provides a connected component with the maximum number of pixels which represents the outer boundary of the ear. As well as addressing faster implementation and brightness insensitivity, the technique is also validated by performing completely successful ear segmentation tested on “USTB” database which contains 308 profile view images of the ear and it s surrounding backgrounds. (More)

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Paper citation in several formats:
Lankarany, M. and Ahmadyfard, A. (2009). EAR SEGMETATION USING TOPOGRAPHIC LABELS. In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 2: VISAPP; ISBN 978-989-8111-69-2; ISSN 2184-4321, SciTePress, pages 186-191. DOI: 10.5220/0001797601860191

@conference{visapp09,
author={Milad Lankarany. and Alireza Ahmadyfard.},
title={EAR SEGMETATION USING TOPOGRAPHIC LABELS},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 2: VISAPP},
year={2009},
pages={186-191},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001797601860191},
isbn={978-989-8111-69-2},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 2: VISAPP
TI - EAR SEGMETATION USING TOPOGRAPHIC LABELS
SN - 978-989-8111-69-2
IS - 2184-4321
AU - Lankarany, M.
AU - Ahmadyfard, A.
PY - 2009
SP - 186
EP - 191
DO - 10.5220/0001797601860191
PB - SciTePress