Separation of high-resolution samples of overlapping latent fingerprints using relaxation labeling

Kun Qian; Maik Schott; Werner Schöne; Mario Hildebrandt

doi:10.1117/12.922696

1 May 2012 Separation of high-resolution samples of overlapping latent fingerprints using relaxation labeling

Kun Qian, Maik Schott, Werner Schöne, Mario Hildebrandt

Proceedings Volume 8436, Optics, Photonics, and Digital Technologies for Multimedia Applications II; 84361A (2012) https://doi.org/10.1117/12.922696
Event: SPIE Photonics Europe, 2012, Brussels, Belgium

Abstract

The analysis of latent fingerprint patterns generally requires clearly recognizable friction ridge patterns. Currently, overlapping latent fingerprints pose a major problem for traditional crime scene investigation. This is due to the fact that these fingerprints usually have very similar optical properties. Consequently, the distinction of two or more overlapping fingerprints from each other is not trivially possible. While it is possible to employ chemical imaging to separate overlapping fingerprints, the corresponding methods require sophisticated fingerprint acquisition methods and are not compatible with conventional forensic fingerprint data. A separation technique that is purely based on the local orientation of the ridge patterns of overlapping fingerprints is proposed by Chen et al. and quantitatively evaluated using off-the-shelf fingerprint matching software with mostly artificially composed overlapping fingerprint samples, which is motivated by the scarce availability of authentic test samples. The work described in this paper adapts the approach presented by Chen et al. for its application on authentic high resolution fingerprint samples acquired by a contactless measurement device based on a Chromatic White Light (CWL) sensor. An evaluation of the work is also given, with the analysis of all adapted parameters. Additionally, the separability requirement proposed by Chen et al. is also evaluated for practical feasibility. Our results show promising tendencies for the application of this approach on high-resolution data, yet the separability requirement still poses a further challenge.

Citation Download Citation

Kun Qian, Maik Schott, Werner Schöne, and Mario Hildebrandt "Separation of high-resolution samples of overlapping latent fingerprints using relaxation labeling", Proc. SPIE 8436, Optics, Photonics, and Digital Technologies for Multimedia Applications II, 84361A (1 May 2012); https://doi.org/10.1117/12.922696

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