基于手势的签名识别系统

Je-Hyoung Jeon, B. Oh, K. Toh
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引用次数: 23

摘要

本文提出了一种不需要手持设备的基于手势签名的用户认证系统。该系统使用深度图像传感器从检测到的手部区域定位指尖和手掌质心进行轨迹处理。除了位置信息外,还将速度和加速度信息作为轨迹匹配的输入特征。以等错误率来评价系统的验证性能。此外,对特征级的融合进行了研究,以提高性能。我们的实证结果显示了所提出的徒手空中签名系统的潜力。
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A system for hand gesture based signature recognition
In this paper, we propose a user authentication system based on hand-gesture signature without the need of any handheld device. The system uses a depth image sensor to locate the fingertip and palm mass-center from detected hand region for trajectory processing. Apart from the positional information, the velocity and acceleration information are included as input features for trajectory matching. The system verification performance is evaluated in terms of equal error rate. In addition, an investigation of fusion at feature level is conducted for possible performance enhancement. Our empirical results show the potential of the proposed bare-hand in-air signature system.
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