SPRITZ-PS

SPRITZ-PS数据集是由巴赫塞希尔大学和帕多瓦大学的研究团队开发的，专注于验证合成面部图像的真实性。该数据集包含大量从VIPPrint数据集中提取的合成和自然打印的虹膜图像，旨在通过虹膜特征区分真实与合成图像。数据集的创建过程中，研究者们采用了图像修复技术来重建可能因眼睑遮挡而导致的虹膜图像缺失部分。SPRITZ-PS数据集的应用领域主要集中在多媒体取证领域，特别是用于检测和防止使用合成图像进行身份伪造的行为。

The SPRITZ-PS dataset was developed by research teams from Başehir University and the University of Padua, focusing on verifying the authenticity of synthetic facial images. This dataset contains a large number of synthetic and naturally printed iris images extracted from the VIPPrint dataset, aiming to distinguish between genuine and synthetic images through iris features. During the dataset creation process, researchers adopted image inpainting technology to reconstruct the missing parts of iris images that may have been caused by eyelid occlusion. The application fields of the SPRITZ-PS dataset are mainly concentrated in the field of multimedia forensics, especially for detecting and preventing identity forgery behaviors using synthetic images.