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

  • Authors:
  • Ronny Merkel;Anja Bräutigam;Christian Kraetzer;Jana Dittmann;Claus Vielhauer

  • Affiliations:
  • Otto-von-Guericke-University of Magdeburg, Magdeburg, Germany;State Police Headquarters of Saxony-Anhalt, Magdeburg, Germany;Otto-von-Guericke-University of Magdeburg, Magdeburg, Germany;Otto-von-Guericke-University of Magdeburg, Magdeburg, Germany;Brandenburg University of Applied Sciences, Brandenburg an der Havel, Germany

  • Venue:
  • Proceedings of the thirteenth ACM multimedia workshop on Multimedia and security
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

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.