A Palmprint Recognition Algorithm using Phase-Based Image Matching
A Palmprint Recognition Algorithm using Phase-Based Image Matching
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DOI：
10.1109/icip.2006.313059
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发表时间：
2006-10
期刊：
影响因子：
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通讯作者：
Koichi Ito;T. Aoki;H. Nakajima;K. Kobayashi;T. Higuchi
中科院分区：
文献类型：
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作者：
Koichi Ito;T. Aoki;H. Nakajima;K. Kobayashi;T. Higuchi
当前掌纹识别的主要方法是提取掌纹图像对应的特征向量，并基于一定的距离度量进行掌纹匹配。基于特征识别的难点之一是特征提取过程中的许多参数对匹配性能的影响很大，这些参数可能会随着图像采集的环境因素而变化。提出了一种基于相位图像匹配的掌纹识别算法。在掌纹图像的二维离散傅里叶变换中使用相位分量可以实现高度鲁棒的掌纹识别。利用掌纹图像数据库进行的实验评估清楚地表明，该算法具有高效的匹配性能。
A major approach for palmprint recognition today is to extract feature vectors corresponding to individual palmprint images and to perform palmprint matching based on some distance metrics. One of the difficult problems in feature-based recognition is that the matching performance is significantly influenced by many parameters in feature extraction process, which may vary depending on environmental factors of image acquisition. This paper presents a palmprint recognition algorithm using phase-based image matching. The use of phase components in 2D (two-dimensional) discrete Fourier transforms of palmprint images makes possible to achieve highly robust palmprint recognition. Experimental evaluation using a palmprint image database clearly demonstrates an efficient matching performance of the proposed algorithm.