/FingerveinRecognitionModel2

A Fingervein Recognition Model Based On Lbp + Dbn;基于降维LBP与深度信念网络的指静脉识别模型

Primary LanguageMATLAB

FingerVein Recognition Model2

This model is implement by LBP + DBN, some preprocess is done first.

RUN

1.Be sure you install MATLAB2016a+ first.

2.Change the dataset's path in bp.m.

3.A correct rate 100% will be generate.(The fvc2004 is easy.You can test SDUMLA.)

4.You can also plot the curve in last part.

Data-Set

１．The first Data-set can be find here fvc-2004;You can also find it in other place. It's a open source database.

  1. The second Data-Set can be find hereSDUMLA_HMT

指静脉识别模型2

主要实现方法为降维LBP + 深度信念网络（需要了解一些机器学习的知识）

运行

１．安装NN工具箱（高版本ｍａｔｌａｂ自带）
２．在ｂｐ．ｍ中更改路径为自己的数据集路径
３．在ｂｐ．ｍ中去掉注释可以看到学习曲线
４．在fvc2004数据库，匹配成功率为１００％，可以使用更复杂的数据集测试，如山东大学数据挖掘实验室的SDUMLA，均为开源数据集