Fusion of Finger-Knuckle-Print and Palmprint for an Efficient Multi-Biometric System of Person Recognition
Fusion of Finger-Knuckle-Print and Palmprint for an Efficient Multi-Biometric System of Person Recognition
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DOI：
10.1109/icc.2011.5962661
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发表时间：
2011-06
期刊：
影响因子：
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通讯作者：
A. Meraoumia;S. Chitroub;A. Bouridane
中科院分区：
文献类型：
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作者：
A. Meraoumia;S. Chitroub;A. Bouridane
近年来，生物识别系统在各个行业中蓬勃兴起，并不断为门禁系统提供更高的安全功能。许多类型的单峰生物识别系统已经被开发出来。然而，这些系统只能提供低到中等范围的安全功能。因此，为了获得更高的安全性，需要两个或多个单模态生物识别技术（多模态）的组合。在本文中，我们提出了一个多模态的生物识别系统，该系统使用手图像，并通过整合两种不同的模态掌纹和指关节指纹（FKP）来识别人。针对这一问题，我们提出了一种基于相相关函数（PCF）的高效匹配算法，并使用了掌纹和FKP两种生物识别模式。将这两种模式结合起来，并在匹配分数水平上应用融合。实验结果表明，所设计的系统取得了较好的识别率，并且比单峰生物识别系统具有更高的安全性。
Biometric system has been actively emerging in various industries for the past few years, and it is continuing to roll to provide higher security features for access control system. Many types of unimodal biometric systems have been developed. However, these systems are only capable to provide low to middle range of security feature. Thus, for higher security feature, the combination of two or more unimodal biometrics (multiple modalities) is required. In this paper, we propose a multimodal biometric system for person recognition using hand images and by integrating two different modalities palmprint and Finger-Knuckle-Print (FKP). Addressing this problem we propose an efficient matching algorithm based on Phase-Correlation Function (PCF) and using the two biometric modalities the palmprint and the FKP. The two modalities are combined and the fusion is applied at the matching-score level. The experimental results showed that the designed system achieves an excellent recognition rate and provide more security than unimodal biometric-based system.