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.

研究者们对背侧手静脉生物识别技术日益产生浓厚兴趣，这主要归因于其独特的特性。该特性可概括如下：无需与捕获设备接触、难以伪造、随时间推移不会发生变化，且能提供高精度识别。背侧手识别系统依赖于从设备收集的图像质量。近红外（NIR）光线被用于区分手背静脉。所提出的系统采用了无接触式硬件进行图像捕捉。该硬件由三部分组成：USB摄像头、红外LED和移动电话。USB摄像头具有640×480像素的分辨率，通过移除红外截止滤光片并放置一个仅允许700 nm以上波长的磁性薄膜进行修改，以提高对红外光的敏感性。照明部分，20个红外LED被安装在一个测试板上，并连接到电源。背侧手通过红外LED进行照明，摄像头开始捕捉帧并将它们通过On-The-Go（OTG）线缆发送到移动电话进行进一步处理。

搜集汇总

背景与挑战

背景概述

该数据集是一个专门用于手背静脉识别系统的生物识别数据集，包含2200张来自100人的手背图像，通过近红外光非接触采集，具有高精度和防伪特性。数据以PNG格式存储，图像分辨率为320×240像素，适用于图像处理和生物识别研究。