Abstract
This paper introduces a novel irisCode template protection scheme, integrating the Indexing First One (IFO) hashing and Bloom filter methodologies. The scheme eliminates pre-alignment needs, while a proposed bit-binding strategy extends the IFO hashed code’s utility for biometric cryptosystems without explicit error correction code construction. This strategy ensures authentication accuracy by preserving the Jaccard distance between input irisCodes. Testing on the CASIA v3-interval database confirms the superior performance of our approach over existing iris recognition methods.
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Acknowledgment
This research study was funded by the National Natural Science Foundation of China (Nos. 62376003 & 62306003), Anhui Provincial Natural Science Foundation (Nos. 2308085MF200), and the UTAR research fund from Universiti Tunku Abdul Rahman (UTAR) (IPSR/RMC/UTARRF/2021-C2/2L01). Additionally, it received support from the Center for Cyber Security (CCS) at UTAR (Vote Account: 6552/0041).
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Jahangir, M., Lee, M.J., Kwan, BH., Lai, Y., Jin, Z., Chai, T.Y. (2023). Alignment-Free Iris Cancellable Template Protection Scheme Based on Code-Blocks Encoding. In: Jia, W., et al. Biometric Recognition. CCBR 2023. Lecture Notes in Computer Science, vol 14463. Springer, Singapore. https://doi.org/10.1007/978-981-99-8565-4_28
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DOI: https://doi.org/10.1007/978-981-99-8565-4_28
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