Contactless Palm vein dataset

The data used in this study was gathered from various practical applications, specifically sourced from an access control device that incorporates a hardware module. Meanwhile, the data acquired through sampling conducted under 850nm light. The hardware device itself was utilized in diverse scenarios, encompassing indoor and outdoor environments, with and without background influences. Users participated in the data collection process by placing their palms naturally onto the device for multiple captures. During these captures, users were instructed to move within a range of 5-20cm, rotate their palm 360°, and tilt it at angles of up to ±45°. This methodology ensured a comprehensive dataset for analysis evaluation.

本研究使用的数据采集自多个实际应用场景，具体来源于一款集成了硬件模块的门禁设备。同时，数据是在850nm光照条件下采样得到的。该硬件设备应用于多种场景，涵盖室内外环境，包含有背景干扰和无背景干扰两种情况。用户参与数据采集时，需将手掌自然放置于设备上进行多次采集。采集过程中，要求用户在5-20cm的范围内移动手掌、进行360°旋转，且倾角最大可达±45°。该采集方法确保了本数据集具备足够的全面性，可用于分析与评估。

搜集汇总

背景与挑战

背景概述

该数据集是一个非接触式手掌静脉图像数据集，包含在850nm光源下采集的多场景、多角度手掌图像，适用于生物特征识别研究。数据集涵盖了不同背景、手势和角度的样本，为算法评估提供了全面的数据支持。