暑假了就有时间写写博客了,大一的师弟们也要进入算法的领域了,于是我就写了一个简略版基于最大主曲率算法的指静脉识别给他们入门用,
现在图像识别的领域是越来越完善,不过还需要一个大爆发的契机才会更好。写了项目之后肯定要有解析和技术文档啊,这个当然就交给师弟们做啦哈哈哈哈
想要得到本文源码的在本文最下方有嘿嘿
本文代码环境为VS2013+opecv2.4.9
READERME文档内容:
Operating environment : vs2013 + opencv 2.4
Author: Xu Jinhui
School: * University
Grade: sophomore
Time: 2018.7.28 - 2018.8.3
notes:If you want to use this project code in the blog or project, please indicate the author's information.
Function usage:
MAIN function :
Preprocessing and similarity matching by calling function.
ROILocation:
Extracting region of interest (ROI).
maxcurvature:
Extracting features by maximum curvature algorithm.
fileOp:
Traversing the file name and other operations.
CommonCode:
Some common digital image algorithms.
cptsimilarity:
The smaller the matching coefficient is, the more similar the similarity is. Because this paper selects almost the same finger,
the difference is not very interesting, so you can try different images by yourself.
内附文件图:
图片截图:
废话不多说进入主题:
以下文档为五邑大学大一计院师弟廖雄营所写:
入需转发和使用请注明作者信息:
指静脉图像处理
首先来看一下整个图像处理的流程图
本文源码:https://github.com/lmskyle/process
其他:
http://www.cnblogs.com/DOMLX/p/8989836.html 提取纹理特征