The document discusses ear biometrics for human identification based on image analysis. It provides an introduction to traditional and biometric methods of human identification. Ear biometrics are proposed as a passive and accurate physiological method of identification. Existing ear biometric methods are described that use geometric distances, force field transformations, and principal component analysis. The document then outlines the author's approach using geometric feature extraction from ear contours and classification for identification. Current work involves improving algorithms using additional segmentation and contour-based geometric features.

1. Ear Biometrics for Human Identification Based on Image Analysis Micha l Chora s Image Processing Group Institute of Telecommunication ATR Bydgoszcz, Poland Presentation for ELCVIA Journal

9. SAMPLE EAR IMAGES FROM OUR DATABASE Ear s differ „at a first glance”. We lack in vocabulary - humans just don’t look at ears . „ easy ear images”

10. SAMPLE EAR IMAGES FROM OUR DATABASE Removing hair for access control is simple and takes just single seconds. „ difficult ear images”

11. EAR BIOMETRICS – OBVIOUS APPROACH How to find specific points? The method based on geometrical distances.