Biometric identification through hand geometry measurements
Biometric identification through hand geometry measurements
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DOI：
10.1109/34.879796
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发表时间：
2000-10-01
影响因子：
23.6
通讯作者：
Gonzalez-Marcos, A
中科院分区：
文献类型：
--
作者：
Sanchez-Reillo, R;Sanchez-Avila, C;Gonzalez-Marcos, A
此处介绍了基于手几何标识的定义和实施生物识别系统的工作。当用户将手放在为此任务设计的平台上时拍摄的彩色照片中提取了手功能。已经测试了不同的模式识别技术，用于分类和/或从欧几里得距离到神经网络的验证。实验结果，分类成功率高达97％。将显示在所有用户完全接受中，在中/高安全环境中使用该系统的可能性。
A work in defining and implementing a biometric system based on hand geometry identification is presented here. Hand features are extracted from a color photograph taken when the user has placed his hand on a platform designed for such a task. Different pattern recognition techniques have been tested to be used in classification and/or verification from Euclidean distance to neural networks. Experimental results, up to a 97 percent rate of success in classification. will show the possibility of using this system in medium/high security environments with full acceptance from all users.