计算机科学 ›› 2014, Vol. 41 ›› Issue (9): 301-305.doi: 10.11896/j.issn.1002-137X.2014.09.058
刘明,李丽华,李哲
LIU Ming,LI Li-hua and LI Zhe
摘要： 提出了一种鲁棒的掌纹识别方法。在特征提取阶段,使用指导图像滤波去除噪声,然后基于Gabor变换提取鲁棒的掌纹方向特征,并使用一组二值图像表示每幅3D掌纹图像；在匹配阶段,采用了基于二值图像组互相关运算的匹配算法。该方法能够充分利用图像组中的特征配准图像来得到准确的匹配分数。HK-PolyU 2D+3Dpalmprint database数据库上的实验表明,该方法能够有效提高掌纹识别算法的识别率。
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