脊波分析在手背静脉识别中的应用

Application of Ridgelet in Dorsal Hand Vein Recognition

提出一种基于改进的有限脊波变换的手背静脉识别算法.利用脊波理论适合于表示直线奇异性的特点,对手背静脉特征进行分析.使用改进的有限脊波变换对手背静脉图像进行分解,得到不同分解尺度下手背静脉的多分辨脊波特征,再通过定义多分辨脊波特征距离进行模式匹配.实验结果表明,与传统静脉特征提取方法相比,该方法较完整地保留了静脉的原始信息,提高了运行速度并降低了算法复杂度.

One method of dorsal hand vein recognition based on improved FRIT was proposed.Analyzing image line＇s singularity,we can obtain the characteristics of the dorsal hand vein.That＇s just the ability of ridgelet transform.The processing is that hand vein images are decomposed by improved FRIT firstly;then multi-scale ridgelet features（MRF） of vein image are obtained in different decomposition scales;finally,pattern matching was done by defining MRF distance.Compared with other vein recognition methods,our approach completely preserves original information of the vein.It not only increases the speed of system but also reduces the complexity of the algorithm.