仅用一张人脸图像融合五种生物特征，提升身份识别准确率。
Multibiometrics Using a Single Face Image
- 从单张人脸图提取脸、虹膜、眼周、鼻、眉五类特征
- 在CASIA Iris Distance数据集上验证了多特征融合有效性
- 无需额外采集，兼顾精度与使用便捷性
多生物特征识别通过结合多个生物特征来提升认证性能，优于单一特征。以往研究或需分别采集不同生物特征，或未充分考虑系统便利性。本文提出一种新方法，仅需一张人脸图像即可提取并融合五类生物特征：人脸、虹膜、眼周区域、鼻子和眉毛，实现多模态识别。该方法保持了生物特征采集的便捷性，仅依赖单一输入。在CASIA Iris Distance数据库上进行的多项实验验证了所提方法的有效性，表明其在身份识别任务中具备优异表现。
原文摘要 · Abstract (English)
Multibiometrics, which uses multiple biometric traits to improve recognition performance instead of using only one biometric trait to authenticate individuals, has been investigated. Previous studies have combined individually acquired biometric traits or have not fully considered the convenience of the system. Focusing on a single face image, we propose a novel multibiometric method that combines five biometric traits, i.e., face, iris, periocular, nose, eyebrow, that can be extracted from a single face image. The proposed method does not sacrifice the convenience of biometrics since only a single face image is used as input. Through a variety of experiments using the CASIA Iris Distance database, we demonstrate the effectiveness of the proposed multibiometrics method.
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