掌静脉识别入门资料汇总
简介
本资源文件汇总了掌静脉识别领域的入门资料，包括数据集和已发表的文章。掌静脉识别是一种新兴的生物识别技术，通过分析手掌静脉的独特模式来进行身份认证。该技术具有高安全性、活体检测性和隐私保护性等优势，适用于多种应用场景。
内容概述
- 数据集：
- IIT Delhi掌纹图像数据库
- 香港理工大学Contact-free 3D/2D Hand Images数据库
- CASIA多光谱掌纹数据集
- VERA PalmVein掌静脉数据集
- 同济大学掌静脉数据集
- 发表文章：
- Review of palm vein recognition
- Outside Box and Contactless Palm Vein Recognition Based on a Wavelet Denoising ResNet
- Multi-Layer Convolutional Features Concatenation With Semantic Feature Selector for Vein Recognition
- Palm Vein Recognition via Multi-task Loss Function and Attention Layer
- Palm Vein Recognition Based on NPE and KELM
- Palm vein recognition using adaptive Gabor filter
- Palm vein recognition through fusion of texture-based and CNN-based methods
- Palmprint and Palmvein Recognition Based on DCNN and A New Large-Scale Contactless Palmvein Dataset
- Learning modality-invariant binary descriptor for crossing palmprint to palm-vein recognition
- An extensive survey on finger and palm vein recognition system
- Palm vein recognition based on competitive coding scheme using multi-scale local binary pattern with ant colony optimization
- Palm Vein Recognition Based on Dual-channel Convolutional Neural Network
- Palm Vein Recognition Using Enhanced Symmetry Local Binary Pattern and SIFT Features
- Palm Vein Recognition Based on Multi-algorithm and Score-Level Fusion
- A New Image Recognition Combining Transfer Learning Algorithm and MobileNet V2 Model for Palm Vein Recognition
- Research on Palm Vein Recognition Algorithm Based on Improved Convolutional Neural Network
- NIR Palm Vein Pattern Recognition
- A Palm Vein Recognition Method Based on LSTM-CNN
- On the Vulnerability of Palm Vein Recognition to Spoofing Attacks
使用说明
本资源文件旨在为掌静脉识别领域的研究人员和开发者提供基础资料和参考文献。用户可以根据需要下载相关数据集和文章，进行进一步的研究和开发工作。
贡献与反馈
如果您有更多的数据集或文章资源，欢迎通过评论或联系作者的方式进行补充。同时，如果您在使用过程中遇到任何问题或有任何建议，也欢迎提出反馈。
版权声明
本资源文件中的所有内容均遵循CC 4.0 BY-SA版权协议，转载请附上原文出处声明。