无对齐索引第一哈希与布隆过滤器集成

Yenlung Lai, B. Goi, Tong-Yuen Chai
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引用次数: 8

摘要

本文对最近发表的关于虹膜模板保护的研究成果——索引先一哈希进行了探讨。尽管index - first - one散列法提供了较高的识别性能,并能抵抗几种主要的隐私和安全攻击,但它不能解决传统虹膜模板在用户眼睛图像获取过程中由于头部倾斜/旋转而存在的旋转不一致问题。因此,传统的IFO散列代码匹配需要一个预对齐步骤。因此,这大大增加了计算成本。因此,我们通过基于Bloom过滤器生成的预变换提出无对齐IFO哈希来解决旋转不一致问题。所提出的预对齐IFO哈希算法具有良好的识别性能,并且消除了预对齐过程,降低了计算成本。
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Alignment-free indexing-first-one hashing with bloom filter integration
This paper explores the recently published works on iris template protection namely Indexing-First-One hashing. Despite the Indexing-First-One hashing offers high recognition performance with resistant against several major privacy and security attacks, it does not resolve the rotation inconsistent issues existed in conventional iris template due to head tilt/ rotation during user's eyes images acquisition. Hence, a pre-alignment step is required for the conventional IFO hashed code matching. Consequently, this increased the computational cost heavily. Hereby, we address the rotation inconsistent issue by proposing an alignment-free IFO hashing through a pre-transformation based on Bloom filter generation. The proposed pre-alignment IFO hashing shows promising recognition performance, and the pre-alignment procedure is eliminated to lower computational cost.
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