基于最小值的多指纹模板最优组合方法

2016 International Conference on Advanced Technologies for Communications (ATC) Pub Date : 2016-10-01 DOI:10.1109/ATC.2016.7764838

Anh Dan Do, Quang Hieu Dang

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引用次数: 0

摘要

为了提高指纹验证系统的匹配成功率，提出了一种组合多个指纹模板的新方法。首先，利用奇异值分解算法对两个特征集进行最优对齐。然后，基于新获得的重叠区域，引入后处理步骤来收集之前由于非线性失真而丢失的细节对。在标准FVC数据库中，从验证系统的均方根误差(RMS)、平均排列细节对数和ROC曲线等方面对我们方法的总体优势进行了比较和检验。

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An optimal minutiae-based combining method for multiple fingerprint templates

This paper proposes a novel method for combining multiple fingerprint templates to improve the successful matching rate in fingerprint verification systems. Firstly, SVD is used to optimal aligning of two minutia sets. Then, based on the newly obtained overlapping area, we introduce a post-processing step to collect previously missing minutiae pairs due to nonlinear distortion. The overall advantages of our method are compared and tested in standard FVC databases in terms of RMS error, the average number of aligned minutia pairs and ROC curve of verification systems.

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来源期刊

2016 International Conference on Advanced Technologies for Communications (ATC)

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