The Dorsal Hand Dataset For Recognition System

Researchers are becoming increasingly interested in dorsal hand vein biometrics because of their characteristics. These characteristics can be summarized as follows: it does not need contact with the capture device, cannot be forged, does not change over time, and provides high accuracy. Recognition systems of the dorsal hand rely on how the collected images captured from the device are good. Near-infrared (NIR) light is used to distinguish veins from the back of the hand.Contactless hardware was used to capture images of the proposed system. The hardware consists of three components: a USB camera, infrared LEDs, and a mobile smartphone. The USB-Camera has a resolution of 640×480 pixels and was modified to be sensitive to infrared light by removing the infrared cut-off filter and placing another one made of a magnetic film that only wavelengths above 700 nm can pass. For illumination, 20 infrared LEDs were mounted on a test board and connected to a power supply. The dorsal hand is illuminated with infrared LEDs, and the camera starts capturing frames and sends them to the smartphone mobile via the On-The-Go cable (OTG) for further processing.

搜集汇总

背景与挑战

背景概述

该数据集是一个用于手背静脉识别系统的生物特征数据集，包含来自100人的2200张手背图像，通过近红外技术采集，图像分辨率为320×240像素。数据集的特点是每只手采集11张样本，且数据在室内和人工光源下采集，适合用于非接触式生物识别研究。