Opto-Electronics Review

, Volume 16, Issue 1, pp 85–96 | Cite as

Perspective methods of human identification: Ear biometrics

Image Processing Technology

Abstract

Geometrical methods of feature extraction from ear images in order to perform human identification are presented. Geometrical approach is motivated by the actual procedures used by police and forensic experts (so-called ear otoscopy). In their work, geometrical features of ears such as size, height, width, and shapes of earlobe are useful and valid proofs of identity. The contribution of the article is development of the new and original methods of geometrical feature extraction from 2D ear images. Four novel algorithms of ear feature extraction from contour images are described in detail. Moreover, identification results obtained for each of the methods, based on the distance of feature vectors in the feature space, are presented.

Keywords

ear biometrics passive human identification feature extraction discrete geometrical computations contour-processing 

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Copyright information

© SEP 2008

Authors and Affiliations

  1. 1.Institute of TelecommunicationsUniversity of Technology and Life Sciences BydgoszczBydgoszczPoland

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