匹配层多生物特征融合识别理论研究
首发时间:2013-01-16
摘要:多生物特征融合识别分为特征层融合、匹配层融合和决策层融合三个层次,其中匹配层融合策略既能融合若干个单模态生物特征各自的信息量,其融合实现难度相对较小,且融合效果显著的特点。本文研究了均值融合方法和最大值融合方法的匹配层融合识别理论,推导了多生物特征融合系统中降低识别错误拒绝率(FRR)、错误接受率(FAR)和等错率(ERR)识别性能的约束条件,并基于手背静脉、虹膜和指纹三种生物特征进行了融合实验验证,对于多生物特征识别应用具有指导意义。
关键词: 图像处理 生物特征 融合 身份识别 理论研究 约束条件
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Study on Multi-Modal Biometric Theory at Matching Score Level
Abstract:The data fusion in a multi-modal biometric system can be realized at feature extraction level, matching score level and decision level. At the matching score level, each individual system provides a matching score and those scores are combined to affirm the authenticity of the claimed identity, which is effective to improve the recognition performance and easy to realize. The data fusion theory based on Average and Max methods at matching score level was studied in the paper. The constraint conditions on improving recognition performance including FRR, FAR and ERR reduction were deduced and verified by fusion recognition tests using hand vein, iris and fingerprint, which has guiding significance for multi-modal biometric application system.
Keywords: Image processing Biometric Fusion Personal identity recognition theoretical research constraint conditions
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