Jan 16, 2018 · This paper proposed a method for human ear recognition, which makes use of local features extracted from the ear image, along with an SC-based ...
First, the ear image is decomposed into a pyramid of progressively downgraded images, which allows the local patterns of the ear to be captured. Second, ...
Ear recognition via sparse coding of local features. Authors. Al Rahhal ... FEATURE extraction; DECISION making; HISTOGRAMS; BIOMETRIC identification.
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Automated personal identification using localized ear images has wide range of civilian and law-enforcement applications. This paper investigates a new ...
This work investigates the use of local texture descriptors, namely local binary patterns, local phase quantization, and binarized statistical image features
Mar 26, 2014 · To the best of our knowledge, this is the first work introducing the sparse representation framework into the field of 3D ear identification.
The sparse representation of the local orientation features for each of the normalized ear image patch is achieved by solving the regularized optimization ...
In this paper, we present a fully automated approach for ear recognition based upon sparse representation. In sparse representation, features extracted from ...
Jan 18, 2014 · In a word, the proposed Gabor orientation feature based sparse representation classification shows greater robustness to ear partial occlusion ...
Jan 1, 2016 · In this paper, we propose a non-negative dictionary based sparse representation and classification scheme for ear recognition. The non-negative ...