机构地区: 华南理工大学
出 处: 《微计算机信息》 2008年第4期208-209,296,共3页
摘 要: 为提高手背静脉有效区域定位分割的准确性和速度,提出了一种自适应的手背静脉区域定位分割算法。充分利用了曲线弯曲度来寻找手背图像的边缘特征点以确定手背外侧边缘的目标曲线段,使用最小二乘法进行曲线段的直线拟合,然后定位分割出手背静脉有效区域的图像。实验证明该算法具有自适应性、定位准确、速度快。 To improve the precision and speed of locating and segmenting the valid area of palm-dorsal vein image, an adaptive locating algorithm is presented. The curve bending is completely used to look for the border feature points of palm-dorsal to confirm the target curve segment, which is used as target data to carry out straight-line fitting adopting least squares method to locate the vein area in the image. Experiment results show that the algorithm is adaptive, accurate and fast locating.
关 键 词: 手背静脉识别 曲线弯曲度 最小二乘法 直线拟合 图像定位
领 域: [自动化与计算机技术] [自动化与计算机技术]