SynCoLFinGer: Synthetic contactless fingerprint generator

• Published in: Pattern recognition letters Vol. 157; pp. 127 - 134
• Main Authors: Priesnitz, Jannis, Rathgeb, Christian, Buchmann, Nicolas, Busch, Christoph
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.05.2022; Elsevier Science Ltd
• Subjects: Algorithms; Biometric recognition systems; Biometrics; Contactless fingerprint; Fingerprint recognition; Fingerprint verification; Fingerprinting; Image quality; Mobile biometrics; Synthetic generation; Fingerprint recognition; Synthetic generation; Mobile biometrics; Contactless fingerprint
• ISSN: 0167-8655; 1872-7344
• DOI: 10.1016/j.patrec.2022.04.003

•Proposal of first method for synthetic generation of contactless fingerprint images.•Modeling of contactless fingerprint images into several constituent components.•Evaluations to study the realism of generated synthetic contactless fingerprints. We present the first method for synthetic generation of contactless fingerprint images, referred to as SynCoLFinGer. To this end, the constituent components of contactless fingerprint images regarding capturing, subject characteristics, and environmental influences are modeled and applied to a synthetically generated ridge pattern using the SFinGe algorithm. The proposed method is able to generate different synthetic samples corresponding to a single finger and it can be parameterized to generate contactless fingerprint images of various quality levels. The resemblance of the synthetically generated contactless fingerprints to real fingerprints is confirmed by evaluating biometric sample quality using an adapted NFIQ 2.0 algorithm and biometric utility using a state-of-the-art contactless fingerprint recognition system.