基于相关滤波和欧氏距离的手型识别

W. Zailah, M. I. Solihin, W. Lee.S., Ang. C.K.
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引用次数: 0

摘要

提出了一种基于相关滤波和欧氏距离的手型识别方法。与生物识别和面部验证系统不同,手型很少用于个人验证。因此,手型将被用作该系统中人类身份识别和认证的替代方式。利用一个新的数据库对最小平均相关能(MACE)滤波器和欧氏距离的性能进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Handshape Recognition Using Correlation Filter and Euclidean Distance
This paper proposes a handshape recognition based on correlation filter and Euclidean distance. Unlike biometric and face verification system, handshape is rarely used for verification of an individual. Therefore, handshape will be used as an alternative way for human identification and authentication for this system. The performance for the minimum average correlation energy (MACE) filter and Euclidean distance are evaluated using a new database.
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