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