一种基于OpenCV的指静脉图像匹配方法
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摘要
为提高指静脉图像匹配精度,提出了一种基于OpenCV计算机视觉库的指静脉图像识别匹配方法。首先,针对图像采集设备获取的指静脉图像存在无效信息导致识别难度增大的问题,对原始图像进行ROI提取;然后对ROI提取的图像进行灰度化、滤波、Sobel算子边缘化、特征向量提取、特征向量描述等处理;最后实现指静脉图像匹配结果的输出。实验结果表明,该方法实时性强,识别率高、匹配度好,较好地解决了存在无效信息情况下的指静脉图像匹配问题。
In order to improve the accuracy of finger vein image matching,an algorithm for finger vein image recognition based on OpenCV computer vision library is proposed. First, there is invalid information about the finger vein image acquired by the image acquisition device,which leads to the difficulty of the whole recognition of the vein image,and the ROI of the original image is extracted. The results of gray-scale,Sobel operator edge extraction,feature vector extraction and feature vector description are used to realize the output of finger vein image matching,which solves the problem that the finger vein image acquisition is not clear. Experimental results show that the method is real-time,and the finger vein image can accurately identify the match.
In order to improve the accuracy of finger vein image matching,an algorithm for finger vein image recognition based on OpenCV computer vision library is proposed. First, there is invalid information about the finger vein image acquired by the image acquisition device,which leads to the difficulty of the whole recognition of the vein image,and the ROI of the original image is extracted. The results of gray-scale,Sobel operator edge extraction,feature vector extraction and feature vector description are used to realize the output of finger vein image matching,which solves the problem that the finger vein image acquisition is not clear. Experimental results show that the method is real-time,and the finger vein image can accurately identify the match.
引文
[1]尹义龙,杨公平,杨璐.指静脉识别研究综述[J].数据采集与处理,2015(5):933-939.
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[9]任贵文.基于OpenCV的红外与可见光双摄像机标定方法研究[J].科学技术与工程,2016(1):211-214.
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[11]刘鑫,姜超,冯存永.CUDA和OpenCV图像并行处理方法研究[J].测绘科学,2012(4):123-125.
[12]Saipullah K M.OpenCV based real-time video processing using android smartphone[J].InternationalJournal of Computer Technology and ElectronicsEngineering,2012,1(3):1-6.
[13]徐欢,李振璧,姜媛媛,等.基于OpenCV和改进Canny算子的路面裂缝检测[J].计算机工程与设计,2014(12):4254-4258.
[14]张海斌,朱苏磊,徐明亮.基于可编程逻辑阵列的索贝尔边缘检测算法的两种实现方案[J].上海师范大学学报:自然科学版,2017(4):247-253.
[15]沈德海,张龙昌,鄂旭.基于Sobel算子的改进边缘检测算法[J].信息技术,2015(4):15-18.
[16]夏清,胡振琪,许立江,等.一种改进Sobel算子的热红外影像边缘检测方法[J].红外技术,2015(6):462-466.
[17]任克强,胡梦云.基于改进SURF算子的彩色图像配准算法[J].电子测量与仪器学报丝绸,2016(5):748-756.
[18]冯亦东,孙跃.基于SURF特征提取和FLANN搜索的图像匹配算法[J].图学学报,2015(8):650-654.
[19]任克强,胡梦云.基于改进SURF算子的彩色图像配准算法[J].电子测量与仪器学报,2016(5):748-756.
[20]刘金双,禹东川.面向ASD儿童的交互式工作记忆训练系统[J].自动化与仪器仪表,2017(2):207-209.
[21]王强.基于视觉传感网络的目标跟踪系统设计[J].现代电子技术,2016(8):88-91.
[2]曹伟,王华彬,石军,等.基于边缘检测加权引导滤波的指静脉图像增强算法[J].激光与光电子学进展,2017(2):172-180.
[3]江虹,郭树旭.红外光指静脉图像采集及其特征提取技术的研究[J].光电子.激光,2011(9):1431-1434.
[4] Hashimoto J.Finger vein authentication technologyand its future[C]//VLSI Circuits,2006,Digest ofTechnical Papers.2006 Symposium on.IEEE,2006:5-8.
[5]张凤春,于思瑶,郭树旭.基于PDE算法的指静脉图像预处理[J].吉林大学学报(理学版),2012(3):552-556.
[6]黎志华,李新国.基于OpenCV的红外弱小运动目标检测与跟踪[J].红外与激光工程,2013(9):2561-2565.
[7]雷建锋,汪伟.基于OpenCV的图像阈值分割研究与实现[J].现代电子技术,2013(12):73-76.
[8]赵健,张冬泉.基于OpenCV的数字手势识别算法[J].计算机应用,2013(S2):193-196.
[9]任贵文.基于OpenCV的红外与可见光双摄像机标定方法研究[J].科学技术与工程,2016(1):211-214.
[10]陈志恒,姜明新.基于OpenCV的人脸检测系统的设计[J].电子设计工程,2012(5):182-185.
[11]刘鑫,姜超,冯存永.CUDA和OpenCV图像并行处理方法研究[J].测绘科学,2012(4):123-125.
[12]Saipullah K M.OpenCV based real-time video processing using android smartphone[J].InternationalJournal of Computer Technology and ElectronicsEngineering,2012,1(3):1-6.
[13]徐欢,李振璧,姜媛媛,等.基于OpenCV和改进Canny算子的路面裂缝检测[J].计算机工程与设计,2014(12):4254-4258.
[14]张海斌,朱苏磊,徐明亮.基于可编程逻辑阵列的索贝尔边缘检测算法的两种实现方案[J].上海师范大学学报:自然科学版,2017(4):247-253.
[15]沈德海,张龙昌,鄂旭.基于Sobel算子的改进边缘检测算法[J].信息技术,2015(4):15-18.
[16]夏清,胡振琪,许立江,等.一种改进Sobel算子的热红外影像边缘检测方法[J].红外技术,2015(6):462-466.
[17]任克强,胡梦云.基于改进SURF算子的彩色图像配准算法[J].电子测量与仪器学报丝绸,2016(5):748-756.
[18]冯亦东,孙跃.基于SURF特征提取和FLANN搜索的图像匹配算法[J].图学学报,2015(8):650-654.
[19]任克强,胡梦云.基于改进SURF算子的彩色图像配准算法[J].电子测量与仪器学报,2016(5):748-756.
[20]刘金双,禹东川.面向ASD儿童的交互式工作记忆训练系统[J].自动化与仪器仪表,2017(2):207-209.
[21]王强.基于视觉传感网络的目标跟踪系统设计[J].现代电子技术,2016(8):88-91.