Method for modeling post-mortem biometric 3D fingerprints

Srijith Rajeev; Shreyas Kamath K.M.; Sos S. Agaian

doi:10.1117/12.2224386

19 May 2016 Method for modeling post-mortem biometric 3D fingerprints

Srijith Rajeev, Shreyas Kamath K.M., Sos S. Agaian

Proceedings Volume 9869, Mobile Multimedia/Image Processing, Security, and Applications 2016; 98690S (2016) https://doi.org/10.1117/12.2224386
Event: SPIE Commercial + Scientific Sensing and Imaging, 2016, Baltimore, MD, United States

Abstract

Despite the advancements of fingerprint recognition in 2-D and 3-D domain, authenticating deformed/post-mortem fingerprints continue to be an important challenge. Prior cleansing and reconditioning of the deceased finger is required before acquisition of the fingerprint. The victim’s finger needs to be precisely and carefully operated by a medium to record the fingerprint impression. This process may damage the structure of the finger, which subsequently leads to higher false rejection rates. This paper proposes a non-invasive method to perform 3-D deformed/post-mortem finger modeling, which produces a 2-D rolled equivalent fingerprint for automated verification. The presented novel modeling method involves masking, filtering, and unrolling. Computer simulations were conducted on finger models with different depth variations obtained from Flashscan3D LLC. Results illustrate that the modeling scheme provides a viable 2-D fingerprint of deformed models for automated verification. The quality and adaptability of the obtained unrolled 2-D fingerprints were analyzed using NIST fingerprint software. Eventually, the presented method could be extended to other biometric traits such as palm, foot, tongue etc. for security and administrative applications.

Citation Download Citation

Srijith Rajeev, Shreyas Kamath K.M., and Sos S. Agaian "Method for modeling post-mortem biometric 3D fingerprints", Proc. SPIE 9869, Mobile Multimedia/Image Processing, Security, and Applications 2016, 98690S (19 May 2016); https://doi.org/10.1117/12.2224386

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