文章基本信息

标题：A Biometric Based: 3-D Ear Recognition System Combining Local and Holistic Features
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作者：Akkas Ali ; Mohammad. Mahfuzul Islam
期刊名称：International Journal of Modern Education and Computer Science
印刷版ISSN：2075-0161
电子版ISSN：2075-017X
出版年度：2013
卷号：5
期号：11
页码：36-41
DOI：10.5815/ijmecs.2013.11.05
出版社：MECS Publisher
摘要：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.
关键词：Biometrics;Ear biometrics;3D ear recognition;3D keypoint detection;shape index;voxelization