A Biometric Based: 3-D Ear Recognition System Combining Local and Holistic Features
Автор: Akkas Ali, Mohammad. Mahfuzul Islam
Журнал: International Journal of Modern Education and Computer Science (IJMECS) @ijmecs
Статья в выпуске: 11 vol.5, 2013 года.
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This paper introduces an improved ear recognition approach based on 3 dimensional keypoint matching and combining local and holistic features. At first, the 3D keypoints are detected using the shape index image. The system consists of four primary steps: i) ear image segmentation; ii) local feature extraction and matching; iii) holistic feature extraction and matching; and iv) combination of local and holistic features at the match score level. For the segmentation purpose, we use an efficient skin segmentation algorithm, to localize a rectangular region containing the ear. For the local feature extraction and representation purpose, we use the Sparse Representation based Localized Feature Extraction. For the holistic matching component, we introduce a voxelization scheme for holistic ear representation. The match scores obtained from both the local and holistic matching components are combined to generate the final match scores.
Biometrics, Ear biometrics, 3D ear recognition, 3D keypoint detection, shape index, voxelization
Короткий адрес: https://sciup.org/15014602
IDR: 15014602
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