Tsinghua IC-LAB Paml_ROI_Gender_Database

Brief Introduction

1. This database include 250 people 90000 ROI images.There are 206 males and 44 females palmprint ROI images. The original image is gray and we convert the gray image to color by duplicating the gray channel first. Now the dataset is fake RGB.
2. There are 15 different Spectras, each person has 24 images under each spectra, which means each hand has 12 images one spectra.
3. Two sessions are labeled as '1_ ' and '2_ ', so ROI(Region of Interest) images are label in this format:' X_0X_s ',the first X means the session, second X means the image number.

Download

1. google dirve: https://drive.google.com/file/d/1OAuskkpo_xcgwAKaKNXGFwhE-_AlCa9j/view?usp=sharing
2. baidu drive: https://pan.baidu.com/s/1LM97hA5DvhocDS9u5wfmqw

Remark

The tsinghua IC-LAB Paml_ROI_Gender_Database is free to the academic community for research purpose usage only.

Citation

@article{Xie2018Palmprint,
title={Palmprint Gender Classification by Convolutional Neural Network (CNN)},
author={Xie, Zhihuai and Guo, Zhenhua and Qian, Chengshan},
journal={Iet Computer Vision},
volume={12},
number={4},
pages={476-483},
year={2018},
}

Contact

For any questions about this database please contact the authors by sending email to xzhuai520@163.com.