LUTBIO multimodal biometric database
收藏资源简介：
The LUTBIO database provides a comprehensive resource for research in multimodal biometric authentication, featuring the following key aspects: - Extensive Biometric Modalities: The database contains data from nine biometric modalities: voice, face, fingerprint, contact-based palmprint, electrocardiogram (ECG), opisthenar (back of hand), ear, contactless palmprint, and periocular region. - Diverse Demographics: Data were collected from 306 individuals, with a balanced gender distribution of 164 males and 142 females, spanning an age range of 8 to 90 years. This diverse age representation enables analyses across a wide demographic spectrum. - Representative Population Sampling: Volunteers were recruited from naturally occurring communities, ensuring a large-scale, statistically representative population. The collected data encompass variations observed in real-world environments. - Support for Multimodal and Cross-Modality Research: LUTBIO provides both contact-based and contactless palmprint data, as well as fingerprint data (from optical images and scans), promoting advancements in multimodal biometric authentication. This resource is designed to guide the development of future multimodal databases. - Flexible, Decouplable Data: The biometric data in the LUTBIO database are designed to be highly decouplable, enabling independent processing of each modality without loss of information. This flexibility supports both single-modality and multimodal analysis, empowering researchers to optimize, combine, and customize biometric features for specific applications. ✅ Data Availability: If you wish to use the LUTBIO dataset, please download the attached Word document, fill in the information, and send it as an attachment to rykeryang AT 163.com. We will process your request as soon as possible! 🥸 Important Notice: Please read the data collection protocol of the LUTBIO dataset carefully before use, as it is essential for understanding and correctly interpreting the dataset. Thank you. 😎 Good news! Our paper has been accepted by Information Fusion, and the DOI is https://doi.org/10.1016/j.inffus.2025.102945. We appreciate the reviewers and the editor for their efforts.🥰🥰🥰
LUTBIO数据库为多模态生物特征认证研究提供了全面的研究资源，其核心特色涵盖以下关键方面： - 丰富的生物特征模态：该数据库包含9种生物模态的数据：语音、人脸、指纹、接触式掌纹、心电图（electrocardiogram, ECG）、手背（opisthenar）、耳廓、非接触式掌纹以及眼周区域。 - 多样化的人口统计学特征：数据采集自306名个体，性别分布均衡，其中男性164名、女性142名，年龄跨度为8至90岁。该样本覆盖了广泛的年龄区间，可支持跨多个人口统计维度的分析。 - 具有统计学代表性的人群采样：志愿者均从自然社区中招募，确保了样本规模庞大且具有统计学代表性，所采集的数据涵盖了真实应用环境中的各类变异情况。 - 支持多模态与跨模态研究：LUTBIO数据库同时提供接触式与非接触式掌纹数据，以及指纹数据（包含光学图像与扫描图像两种采集形式），可推动多模态生物特征认证领域的研究进展。该资源旨在为未来多模态生物特征数据库的开发提供参考与指引。 - 灵活可解耦的数据设计：LUTBIO数据库中的生物特征数据采用高度解耦的设计思路，可在不损失信息的前提下对各模态数据进行独立处理。此灵活性既支持单模态分析，也支持多模态分析，可帮助研究人员针对特定应用场景优化、组合并自定义生物特征。 ✅ 数据获取说明：若您希望使用LUTBIO数据集，请下载附件中的Word文档，填写相关信息后以附件形式发送至邮箱rykeryang AT 163.com，我们将尽快处理您的申请！ 🥸 重要提示：使用前请仔细阅读LUTBIO数据集的数据采集协议，这对于理解并正确解读该数据集至关重要。感谢您的配合。 😎 好消息！我们的论文已被《Information Fusion》（信息融合）期刊录用，DOI为https://doi.org/10.1016/j.inffus.2025.102945。感谢审稿人与编辑的辛勤工作！🥰🥰🥰
