Non-contact Technologies and Digital Approaches to (Latent) Fingermark Aging Studies

Author:

Merkel Ronny

Publisher

Springer International Publishing

Reference48 articles.

1. Merkel R (2014) New solutions for an old challenge: chances and limitations of optical, non-invasive acquisition and digital processing techniques for the age estimation of latent fingerprints. Logos, Berlin. Also available at: http://nbn-resolving.de/urn:nbn:de:gbv:ma9:1-4875. Last accessed 24 Aug 2019

2. Kiltz S, Hildebrandt M, Dittmann J, Vielhauer C (2012) Challenges in contact-less latent fingerprint processing in crime scenes: review of sensors and image processing investigations. In: 20th European signal processing conference, Bucharest, Romania

3. Schott M, Merkel R, Dittmann J (2012) Sequence detection of overlapping latent fingerprints using a short-term aging feature. In: International workshop on information forensics and security, Tenerife, Spain

4. Qian K, Schott M, Zheng W, Dittmann J (2014) Context-based approach of separating contactless captured high-resolution overlapped latent fingerprints. IET Biometrics 3(2):101–112

5. Stojanović B, Nešković A, Marques O (2017) A novel neural network based approach to latent overlapped fingerprints separation. Multimed Tools Appl 76(10):12775–12799

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