LUTBIO multimodal biometric database

Description

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: To facilitate early access, we are initially releasing sample data from 6 individuals. Upon publication of the paper, the full dataset will be made available. 🥸 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 received revision comments, and we are carefully making revisions based on the feedback. We appreciate the reviewers and the editor for their efforts.🥰🥰🥰 🤠 We conducted further research based on the LUTBIO database and proposed AuthFormer: An Adaptive Multimodal Biometric Authentication Framework for Secure and Flexible Identity Verification. The code is available at https://github.com/RykerYang/Authformer.git. Our work is currently under review for an international conference, where we are dealing with a malicious reviewer. We are in the process of responding and appealing—wish us luck! 🍀🍀🍀

Steps to reproduce

The LUTBIO multimodal biometric database was collected over a period of four months, divided into two phases. The first phase involved collecting data from 209 individuals, and the second phase from 98 individuals. In total, more than 11,000 images and 1,000 lossless voice wav files were collected. The protocol specifies that data for the LUTBIO database is collected at naturally occurring settlements within China (specific locations are confidential). To protect the data security of volunteers, the collection sites have strict security measures, including surveillance cameras, data encryption, and access restrictions. Only researchers who have applied for access and comply with strict confidentiality agreements can access the data. The data is solely for research purposes and cannot be used for commercial or illegal activities. Furthermore, all data is anonymized to ensure the maximum protection of volunteers' privacy. Data is stored on secure servers and is regularly backed up and updated. Researchers have submitted data management reports to the relevant regulatory authorities in China to ensure the lawful use and fair review of the data. The multimodal biometric data presented in the paper is not from the same individual, further protecting volunteers' privacy. Before data collection, each participant must sign an informed consent form that details how personal information will be used and the data transfer restrictions. Volunteers have the right to access, correct, or delete their data. For minors, consent must also be obtained from their legal guardians. Researchers reiterate these rights to volunteers during the collection process, ensuring they fully understand and can exercise these rights at any time. Volunteers can withdraw their data usage permission at any time, and any violation of data protection principles will be severely punished. Through these measures, the LUTBIO database aims to be an essential resource for biometric technology research.

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