Three-dimensional human ear extracting method based on profile wave convert

Abstract

The invention belongs to the image processing technical field and in particular relates to an algorithm for automatically extracting human ears from 3D depth data. The algorithm can be applied to the front end processing of an automatic computer ear recognition system. By performing statistics of the coefficient distribution probability of ear contour at different sub-bands and different positions in a Contourlet transform domain, the algorithm builds an ear probability model. The model is used for filtering non-edges of ear contours, with edges of ears left only. Then, convex hulls of the edges are calculated for realizing the precise extraction of 3-d human ears. The algorithm has comparatively low calculating complexity. Simultaneously, the extracted 3-d human ears have comparatively high precision. The algorithm has important practical application value for further improving the performances of the computer automatic ear recognition system and good application aspect in the identity certification and recognition field.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to an algorithm that can automatically extract human ears from three-dimensional depth data. technical background [0002] Biometrics are used more and more widely in identification. Compared with fingerprint recognition and iris recognition, the human ear is more convenient in image acquisition; compared with the human face, the human ear does not have expressions, nor is it covered by cosmetics or glasses, and its features are more stable. The contour shape of the outer ear and the distribution of structures within the contour are different for each individual, and this unique structure hardly changes between the ages of 8 and 70 years. Therefore, ear recognition is a biometric technology with great development potential. [0003] Usually, the upper part of the human ear is adjacent to the hair, and the color difference between the two is relatively large, which is mani...

AI Technical Summary

Problems solved by technology

However, although the improvement of internal energy modification proposed in [11] avoids the expansion of the contour to the cheek, it also introduces a new problem: the contour line may stop expanding in the smoother area inside the ear

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