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Alignment-free indexing-first-one hashing with bloom filter integration

机译:无对齐索引-第一哈希与Bloom Filter集成

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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.
机译:本文探讨了最近发表的有关虹膜模板保护的著作,即“索引优先”(Firsting-First-One)哈希。尽管Indexing-First-One哈希提供了高识别性能,并且可以抵抗几种主要的隐私和安全攻击,但是它无法解决传统虹膜模板中存在的旋转不一致问题,这是由于在用户的眼睛图像获取过程中头部倾斜/旋转而引起的。因此,对于常规的IFO散列码匹配,需要预对准步骤。因此,这极大地增加了计算成本。因此,我们通过基于Bloom过滤器生成的预变换提出了无对齐的IFO哈希,从而解决了旋转不一致的问题。所提出的预对准IFO散列显示出有希望的识别性能,并且消除了预对准过程以降低计算成本。

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