Multi-algorithmic cancelable fingerprint template generation based on weighted sum rule and T-operators

作者：Sandhya Mulagala^*; Prasad Munaga V N K

来源：Pattern Analysis and Applications, 2018, 21(2): 397-412.

DOI：10.1007/s10044-016-0584-5

• Fingerprint template protection
• Multi-algorithmic system
• Fuzzy systems
• Cancelable template
• T-norm
• T-conorm

With the emergence of biometric-based authentication systems in real-world applications, template protection in biometrics is a significant issue to be considered in the recent years. This paper presents two feature set computation algorithms, namely nearest neighbor feature set (NNFS) and Delaunay triangle feature set (DTFS), for a fingerprint sample. Further, the match scores obtained from these algorithms are fused using weighted sum rule and T-operators (T-norms and T-conorms). The experimental evaluation done on FVC 2002 databases confirms the credibility of fusion method compared to each individual algorithm used for fusing. The EER obtained for proposed method is 0 %, 0.059 %, and 3.93 % for FVC 2002 DB1, DB2, and DB3 databases, respectively. This paper also aims to prove the effectiveness of applying T-operators for fusion at score level in fingerprint template protection.

• 出版日期2018-5