General fusion approaches for the age determination of latent fingerprint traces: results for 2D and 3D binary pixel feature fusion

Merkel, Ronny; Gruhn, Stefan; Dittmann, Jana; Vielhauer, Claus; Bräutigam, Anja

doi:10.1117/12.908637

Cited by 8 publications

(10 citation statements)

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“…Recent research has used technological advances to observe changes to ridge patterns with time on a hard drive platter [38]. Research has used a high-resolution non-invasive chromatic white light optical sensor [39,40] combined with pattern-recognition techniques to determine an aging curve [39,138].…”

Section: Changes In Ridge Featuresmentioning

confidence: 99%

“…The development of enhancement techniques [7,31,33,[36][37][38][39]47,48,132,140] 2. The development of fingerprint age determination methods [7,36,39,51,67,79] Increased knowledge of fingerprint composition allows for increased comprehension of the chemical mechanisms that occur between enhancement reagents and their target compounds, as well as how they interact within the 3D matrix.…”

Section: Effect Of Timementioning

confidence: 99%

“…Readers are directed elsewhere for further information regarding contaminants. Thirdly research has explored the potential for fingerprint age determination through changes to composition over time [20,[33][34][35][36][37][38][39][40][41]. There are currently no accepted analytical methods for reliably determining fingerprint age.…”

Section: Introductionmentioning

confidence: 99%

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Fingerprint composition and aging: A literature review

et al. 2015

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Section: Changes In Ridge Featuresmentioning

confidence: 99%

Section: Effect Of Timementioning

confidence: 99%

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Fingerprint composition and aging: A literature review

et al. 2015

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“…Such approaches include the analysis of changes in the chemical composition of fingerprints using spectroscopy, as shown in [2] and [3] or the investigation of physical fingerprint properties. For the latter case, we have shown in [4] that a feature called binary pixel shows a strong logarithmic aging tendency for fingerprints aging, based on the loss of image contrast with time and introduced first age determination strategies and results in [5] and [6]. However, such feature has so far only been investigated for a Chromatic White Light (CWL) sensor [7], which is comparatively expensive, bulky and has constraints concerning scanning speed (point sensor).…”

Section: Introductionmentioning

confidence: 99%

On using flat bed scanners for the age determination of latent fingerprints

Merkel

Vielhauer

2012

Proceedings of the on Multimedia and Security

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Determining the age of latent fingerprints found at crime scenes is a very pressing, yet so far unresolved challenge in forensics. Recently, a first aging feature called binary pixel has been introduced, based on the loss of image contrast of fingerprint time series captured non-invasively with a Chromatic White Light (CWL) sensor. Such new feature seems to be promising, showing a logarithmic behavior for fingerprints when aging. However, a CWL sensor is very expensive, bulky and comparatively slow in the acquisition. We here explore the possibility of using a common flat bed scanner as a cheaper, more flexible and faster alternative to the CWL technique. Comparing 250 fingerprint time series scanned in regular time intervals over a period of 24 hours with a CWL sensor as well as a flat bed scanner (18000 scans in total), our conclusions are threefold: firstly, the binary pixel feature can reliably be produced with a flat bed scanner for scan images of sufficient quality according to our subjective quality metric defined in this paper. Secondly, however, only 24% of flat bed scanner images are of high quality, clearly showing the much higher reliability of CWL results. Thirdly, the experiments furthermore indicate that the binary pixel feature is not sensor specific and can be applied to different image sensors.

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“…Moreover, in theory higher acquisition resolutions can be achieved and a trace can be observed for several hours to determine its degradation within this interval of time to estimate when the fingerprint has been left at the crime scene. 7 Besides those opportunities new challenges arise: at first potential traces need to be localized (coarse scan), afterwards the fingerprints need to be acquired (detailed scan) with a sufficient resolution and subsequently digitally processed and visualized. Furthermore, the chain-of-custody needs to be extended also to digital objects throughout the entire (digital) investigation.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of digital cameras versus chromatic white light (CWL) sensors for the localization of latent fingerprints in crime scenes

et al. 2012

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In future applications of contactless acquisition techniques for latent fingerprints the automatic localization of potential fingerprint traces in crime scenes is required. Our goal is to study the application of a camera-based approach 1 comparing with the performance of chromatic white light (CWL) techniques 2 for the latent fingerprint localization in coarse and the resulting acquisition using detailed scans. Furthermore, we briefly evaluate the suitability of the camera-based acquisition for the detection of malicious fingerprint traces using an extended camera setup in comparison to Kiltz et al. 3 Our experimental setup includes a Canon EOS 550D 4 digital single-lens reflex (DSLR) camera and a FRT MicroProf200 5 surface measurement device with CWL600 2 sensor. We apply at least two fingerprints to each surface in our test set with 8 different either smooth, textured and structured surfaces to evaluate the detection performance of the two localization techniques using different pre-processing and feature extraction techniques. Printed fingerprint patterns as reproducible but potentially malicious traces 3 are additionally acquired and analyzed on foil and compact discs. Our results indicate positive tendency towards a fast localization using the camera-based technique. All fingerprints that are located using the CWL sensor are found using the camera. However,the disadvantage of the camera-based technique is that the size of the region of interest for the detailed scan for each potential latent fingerprint is usually slightly larger compared to the CWL-based localization. Furthermore, this technique does not acquire 3D data and the resulting images are distorted due to the necessary angle between the camera and the surface. When applying the camera-based approach, it is required to optimize the feature extraction and classification. Furthermore, the required acquisition time for each potential fingerprint needs to be estimated to determine the time-savings of the camera-based localization approach throughout the entire acquisition of traces. The analysis of camera images of printed fingerprint patterns shows positive tendencies, too. However, only small sections of the fingerprint are sharply acquirable within a single photo, large sections of the image are usually blurred due to the depth of field of the camera lens.

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General fusion approaches for the age determination of latent fingerprint traces: results for 2D and 3D binary pixel feature fusion

Cited by 8 publications

References 0 publications

Fingerprint composition and aging: A literature review

Fingerprint composition and aging: A literature review

On using flat bed scanners for the age determination of latent fingerprints

Performance analysis of digital cameras versus chromatic white light (CWL) sensors for the localization of latent fingerprints in crime scenes

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