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首页> 外文会议>2016 International Conference on Biometrics >TripleA: Accelerated accuracy-preserving alignment for iris-codes
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TripleA: Accelerated accuracy-preserving alignment for iris-codes

机译：TripleA：虹膜代码的加速保留精度对齐

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The discriminative power of the iris enables reliable biometric recognition on large-scale databases where a rapid comparison of biometric reference data is essential to limit response times. In case of national-sized databases a one-to-many comparison might still represent a bottleneck of a biometric identification system, in particular if numerous relative tilt angles have to be considered in the comparisons stage. While a compensation of head tilts improves the robustness of an iris recognition system, extensive feature alignment increases the probability of a false match as well as comparison time. In this paper we present a novel method to accelerate iris biometric comparators in an accuracy-preserving way. Emphasis is put on the alignment of iris biometric reference data, i.e. iris-codes. Based on an analysis of the nature of iris-codes and comparison scores between them we propose an efficient two-step alignment process referred to as TripleA. This scheme, which can be operated in various modes, significantly reduces the amount of relative tilt angles to be considered during iris-code comparisons. Hence, comparison time as well as the probability of a false match are reduced at the same time. In an experimental evaluation on the Casia v4-Interval iris database we achieve a more than fourfold speed-up in the comparison stage maintaining biometric performance using different feature extraction techniques.
机译：虹膜的辨别力使能够在大型数据库上进行可靠的生物特征识别，而对生物特征参考数据进行快速比较对于限制响应时间至关重要。对于国家规模的数据库，一对多比较仍可能代表生物识别系统的瓶颈，特别是如果在比较阶段必须考虑许多相对倾斜角时。头部倾斜的补偿提高了虹膜识别系统的鲁棒性，而广泛的特征对准则增加了错误匹配的可能性以及比较时间。在本文中，我们提出了一种以保持准确性的方式加速虹膜生物特征比较器的新方法。重点放在虹膜生物特征参考数据（即虹膜代码）的对齐上。基于对虹膜代码的性质及其之间的比较分数的分析，我们提出了一种有效的两步对齐过程，称为TripleA。可以以各种模式操作的该方案显着减少了虹膜代码比较期间要考虑的相对倾斜角度的数量。因此，同时减少了比较时间以及错误匹配的可能性。在对Casia v4-Interval虹膜数据库的实验评估中，我们在比较阶段实现了超过四倍的提速，并使用不同的特征提取技术保持了生物识别性能。

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