English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

A cancelable biometric scheme called correlation-invariant random filtering(CIRF) is known as a promising template protection scheme. This schemetransforms a biometric feature represented as an image via the 2D numbertheoretic transform (NTT) and random filtering. CIRF has perfect secrecy inthat the transformed feature leaks no information about the original feature.However, CIRF cannot be applied to large-scale biometric identification, sincethe 2D inverse NTT in the matching phase requires high computational time.Furthermore, existing biometric indexing schemes cannot be used in conjunctionwith template protection schemes to speed up biometric identification, since abiometric index leaks some information about the original feature. In thispaper, we propose a novel indexing scheme called "cancelable indexing" to speedup CIRF without losing its security properties. The proposed scheme is based onfast computation of CIRF via low-rank approximation of biometric images and viaa minimum spanning tree representation of low-rank matrices in the Fourierdomain. We prove that the transformed index leaks no information about theoriginal index and the original biometric feature (i.e., perfect secrecy), andthoroughly discuss the security of the proposed scheme. We also demonstratethat it significantly reduces the one-to-many matching time using a finger-veindataset that includes six fingers from 505 subjects.

Cancelable Indexing Based on Low-rank Approximation of Correlation-invariant Random Filtering for Fast and Secure Biometric Identification