Abstract
This study presents findings from long-term biometric evaluations conducted at the Biometric Evaluation Center (bez). Over the course of two and a half years, our ongoing research with over 400 participants representing diverse ethnicities, genders, and age groups were regularly assessed using a variety of biometric tools and techniques at the controlled testing facilities. Our findings are based on the General Data Protection Regulation-compliant local bez database with more than 238.000 biometric data sets categorized into multiple biometric modalities such as face and finger. We used state-of-the-art face recognition algorithms to analyze long-term comparison scores. Our results show that these scores fluctuate more significantly between individual days than over the entire measurement period. These findings highlight the importance of testing biometric characteristics of the same individuals over a longer period of time in a controlled measurement environment and lays the groundwork for future advancements in biometric data analysis.
Abstract (translated)
这项研究展示了在生物特征评估中心（bez）进行的长期生物识别评估的结果。历时两年半，我们持续的研究项目涉及超过400名参与者，这些参与者涵盖了不同的种族、性别和年龄群体，并且他们定期使用多种生物识别工具和技术，在受控测试设施内接受评估。 我们的发现基于符合《通用数据保护条例》的地方bez数据库，该数据库包含超过238,000份分类为面部、指纹等多种生物特征模式的生物识别数据集。我们采用了最先进的面部识别算法来分析长期比较得分，并且研究结果表明这些得分在不同的日子之间波动较大，但在整个测量期间相对稳定。 这些发现强调了在受控环境中长时间测试同一对象的生物特征的重要性，并为未来生物识别数据分析的进步奠定了基础。
URL
https://arxiv.org/abs/2507.06858
