首页> 外国专利> HIGH-SPEED RETRIEVAL ALGORITHM FOR FINGER VEIN WITH SUPER LARGE NUMBER OF USERS, AND RECOGNITION DEVICE

HIGH-SPEED RETRIEVAL ALGORITHM FOR FINGER VEIN WITH SUPER LARGE NUMBER OF USERS, AND RECOGNITION DEVICE

机译:具有超大量用户的手指静脉的高速检索算法,以及识别装置

摘要

The present invention relates to a high-speed retrieval algorithm for a finger vein with a super large number of users, and a recognition device. The high-speed retrieval algorithm comprises the following steps: collecting finger vein images of a user to be recognized and of all registered users, and respectively carrying out image size normalization, image enhancement processing and feature point detection; according to a first-order derivative and a second-order derivative of each image, calculating the average curvature of all pixel points of each image; according to the average curvature of all the pixel points of each image, binarizing the finger vein images of the user to be recognized and of all the registered users by means of image segmentation; carrying out translation and rotation calibration of the images on the basis of center coordinates and rotation angles of feature points; and by means of an exclusive-OR operation, respectively calculating a Hamming distance between a binary image of the user to be recognized and a binary image of each registered user, wherein the registered user with the minimum Hamming distance is the registered user who is most similar to an image to be subjected to recognition. By means of the present invention, the amount of retrieved data is reduced, and there is no need to traverse a plurality of possible positions and rotation difference values, such that the retrieval speed is greatly increased.
机译:本发明涉及一种具有超大量用户的手指静脉的高速检索算法,以及识别装置。高速检索算法包括以下步骤:收集要识别的用户的手指静脉图像和所有注册用户,以及分别进行图像尺寸标准化,图像增强处理和特征点检测;根据每个图像的一阶衍生和二阶导数,计算每个图像的所有像素点的平均曲率;根据每个图像的所有像素点的平均曲率,通过图像分割来识别用户的手指静脉图像和所有注册的用户的指示;在中心坐标和特征点的旋转角度的基础上进行图像的翻译和旋转校准;通过分别计算要识别用户的二进制图像和每个注册用户的二进制图像之间的汉明距离的汉明距离,其中具有最小汉明距离的注册用户是最多的注册用户类似于要受到识别的图像。借助于本发明,检索到的数据量减少,并且不需要遍历多个可能的位置和旋转差值,使得检索速度大大增加。

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