基于手几何和掌纹纹理的多模态生物识别系统

M. Ferrer, C. Travieso, J. B. Alonso
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引用次数: 11

摘要

提出了一种基于人手几何特征和掌纹特征的多模态生物识别系统。右手图像是由商用扫描仪获得的,分辨率为150 dpi。从二值化后的图像中获得几何特征,由15个度量组成。使用支持向量机作为验证器。采用二维Gabor相位编码方案获取掌纹纹理。定义了一个鲁棒坐标系,使图像对齐更容易。使用汉明距离和阈值来验证身份。分数和决策级的融合结果表明了组合方案的改进
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Multimodal Biometric System based on Hand Geometry and Palm Print Texture
This paper presents a multimodal biometric identification system based on the geometrical and palm print features of the human hand. The right hand images are acquired by a commercial scanner with a 150 dpi resolution. The geometrical features are obtained from the binarized images and consist on 15 measures. A support vector machines is used as verifier. The palm print texture is obtained by means of a 2D Gabor phase encoding scheme. A robust coordinate system is defined to make easier the image alignment. A Hamming distance and threshold are used for verifying the identity. A score and decision level fusion results have shown the improvement of the combined scheme
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