Abstract: The paper provides a comprehensive overview and comparative analysis of recent advancements in cancellable biometrics methods. Through an in-depth examination of various studies, the paper showcases a diverse range of techniques and features utilized to enhance the security, privacy, and accuracy of biometric authentication systems. Key findings include the development of robust fingerprint templates using techniques such as Delaunay Triangulation Net and alignment-free templates, as well as the exploration of multi-modal approaches combining different biometric modalities for improved performance. Additionally, privacy-preserving techniques, machine learning-based approaches, and novel integrations with block chain technology are investigated to address concerns about data protection and authentication reliability. The paper highlights the richness and diversity of research efforts in cancellable biometrics, providing valuable insights and advancements to address emerging threats in biometric security.
Keywords: Cancellable biometrics, Template protection, Alignment-free templates, Revocability, Non-invertibility
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DOI:
10.17148/IJARCCE.2024.13907
