Fusing 3D Gabor and Block-Wise Spatial Features for Hyperspectral Palmprint Recognition
Fusing 3D Gabor and Block-Wise Spatial Features for Hyperspectral Palmprint Recognition
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DOI：
10.1007/978-3-319-69923-3_39
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发表时间：
2017-10
期刊：
影响因子：
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通讯作者：
Mian Li;Weicheng Xie;L. Shen
中科院分区：
文献类型：
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作者：
Mian Li;Weicheng Xie;L. Shen
高光谱掌纹包含了联合空间-光谱域的各种信息。高光谱掌纹识别的一个关键任务是如何提取空间光谱特征。由于高光谱掌纹是三维的，现有的大多数基于2D的算法，如基于协同表示(CR)的框架[15]，可能不能完全探索光谱域上的信息。虽然3D Gabor滤波器[18]可以用来编码联合空间-谱域上的信息，但可能没有充分利用表面贴图等纹理方向信息。提出了一种新的基于3D Gabor滤波的响应-竞争特征(ResCom)来表示高光谱掌纹的光谱信息。与2D表面贴图相结合，ResCom功能不仅可以对2D纹理进行编码，还可以对3D响应变化进行编码。因此，高光谱掌纹特征将在联合空间-谱域上得到有效的提取。通过融合分块特征和ResCom特征，该方法在公共高光谱掌纹数据库上的识别率达到了99.43%。
Hyperspectral palmprint contains various information in the joint spatial-spectral domain. One crucial task in hyperspectral palmprint recognition is how to extract spatial-spectral features. Since hyperspectral palmprint is three dimensional, most of the existing 2D based algorithms, such as collaborative representation (CR) based framework [15], may not fully explore the information on the spectral domain. Although 3D Gabor filter [18] can be utilized to encode the information on the joint spatial-spectral domain, the texture direction information such as the surface map may not be explored sufficiently. In this work, a novel response-competition (ResCom) feature is proposed to present the spectral information of hyperspectral palmprint based on 3D Gabor filters. Incorporated with the 2D surface map, the ResCom feature can encode not only the 2D texture but also the 3D response variation. Therefore, features of hyperspectral palmprint will be extracted efficiently on the joint spatial-spectral domain. By fusing Block-wise and ResCom features, the proposed approach achieves so far the highest recognition rate of 99.43% on the public hyperspectral palmprint database.