NDLI: Evaluation of binary pixel aging curves of latent fingerprint traces for different surfaces using a chromatic white light (CWL) sensor

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Evaluation of binary pixel aging curves of latent fingerprint traces for different surfaces using a chromatic white light (CWL) sensor

Content Provider	ACM Digital Library
Author	Kraetzer, Christian Merkel, Ronny Vielhauer, Claus Dittmann, Jana Bräutigam, Anja
Abstract	Determining the age of latent fingerprint traces found at crime scenes is an unresolved research challenge since decades. In prior work, we have suggested to use optical, non-invasive image sensory in combination with a new aging feature called binary pixel (shown to have a characteristic logarithmic aging tendency on an ideal hard disk platter surface) to solve this important research issue. In this paper, we want to evaluate the feasibility of this approach for a practical age determination by conducting 30 test series with a total of 1440 scans, investigating ten different surfaces with 3 different samples each. We suggest a three-step procedure: calculate the binary pixel feature, approximate the mathematical aging function using regression and calculate the coefficients of correlation, allowing for a formal evaluation and comparison of the aging property. We report a promising characteristic logarithmic aging property for 18 of the 30 test samples and evaluate possible influences on such property.
Starting Page	41
Ending Page	50
Page Count	10
File Format	PDF
ISBN	9781450308069
DOI	10.1145/2037252.2037262
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-09-29
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Latent fingerprint traces Age determination Different surfaces Mathematical aging function Crime scene investigation
Content Type	Text
Resource Type	Article

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