On Efficiency of Square-Boundaries Chaff Points Generation With Composite Representation in Fingerprint Fuzzy Vault

Fingerprint-based biometric systems are widely used because of their advantages against conventional authentication systems based on passwords and tokens. However, a major limitation is that individuals' fingerprint information cannot be easily changed if compromised. The fuzzy vault is a promising technique that secures fingerprint data by generating a set of data from the fingerprint using an injective function, preventing the original fingerprint from being regenerated. Nevertheless, the fingerprint fuzzy vault is computationally intensive and requires substantial memory resources. We propose enhancing the performance of fingerprint fuzzy vaults and reducing resource consumption using a new chaff point generation technique based on square boundaries and composite representation. We conducted integration testing along with detailed benchmarking of the fingerprint fuzzy vault using square-boundary generation against other techniques proposed in the literature for each stage. The experiments demonstrate that our proposal yields relatively better results in terms of False Rejection Rate, False Acceptance Rate, computational time, the number of chaff points generated, and memory usage.