An Automated Ear Localization Technique Based on Modified Hausdorff Distance
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.
KeywordsBiometrics Skin-color segmentation Hausdorff distance Ear localization Ear varification
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