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What is IWBF2018 about?

This paper presents a novel approach for contactless 3D fingerprint identification that avoids the complex and error-prone 3D reconstruction process by utilizing surface normal and albedo information directly. The method demonstrates promising results using a publicly available 3D fingerprint database, achieving a rank-one recognition accuracy of 99.1% and an equal error rate of 2.49%. The study suggests that leveraging direct 3D information can enhance the accuracy and efficiency of fingerprint matching in

Author

qq294856680

Language

EN