| 要約: | Biometric template protection is important in the current situation because of the reliance on intelligent approaches for recognizing an individual. In recent years, there have been numerous high-profile frauds. Texture, color, and shape are today’s most prevalent biometric features. Insufficient user data and compromised keys cast doubt on the dependability of biometric systems. The proposed system employs a novel technique to close this gap. It extracts biometric features from a person’s face, iris, and palmprint. Combining biometric features increases system reliability, safety, and user privacy. We used a colorization technique to generate three separate colors Quick Response (QR) codes from a user-defined Red, Green, Blue (RGB) tuple random seed, which we then combined to create a one-way cancellable template. This work provides a biometric verification system that supports numerous cancellation mechanisms. This would reduce the dangers of biometric templates, confusing systems, user concerns, and fraud. The database saves these templates for future user-driven security key-based situations involving intra-class and inter-class verification in the changed domain. The system’s remarkable performance resulted in improved accuracy and security, reaching 99.84% overall with a 0.11% crossover error rate at an optimal threshold of 5.59. Finally, the Area Under the Receiver Operating Curve (AU_ROC) was 0.97, which is closer to the optimal value of 1.
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