SWAN-Idiap

SWAN-Idiap dataset is a multimodal biometric dataset (face, voice, and periocular) acquired using a smartphone. The SWAN-Idiap dataset comprises 150 subjects that are captured in six different sessions reflecting real-life scenarios of smartphone assisted authentication. One of the unique features of this dataset is that it is collected in four different geographic locations representing a diverse population and ethnicity. Additionally, it also contains a multimodal Presentation Attack (PA) or spoofing dataset using low-cost Presentation Attack Instruments (PAI) such as print and electronic display attacks. The novel acquisition protocols and the diversity of the data subjects collected from different geographic locations will allow developing a novel algorithm for either unimodal or multimodal biometrics.SWAN-Idiap 数据集（SWAN-Idiap dataset）是一款采用智能手机采集的多模态生物特征数据集（multimodal biometric dataset），涵盖人脸、语音及眼周区域生物特征。该数据集共收录150名受试者的样本，分六次不同会话完成采集，还原了智能手机辅助身份认证的真实应用场景。本数据集的独特优势之一在于，其采集工作覆盖四个不同地理位置，能够代表多样化的人群与种族构成。此外，数据集还配套包含基于低成本呈现攻击工具（Presentation Attack Instruments, PAI）构建的多模态呈现攻击（Presentation Attack, PA，又称欺骗攻击）数据集，涵盖打印攻击与电子显示屏攻击两类攻击场景。本次采用的新颖采集方案，以及从不同地理区域收集的多样化受试者数据，将为单模态（unimodal）或多模态生物识别算法的创新研发提供坚实的实验支撑。