Fingerprints
Quantifying the strength of support in fingerprint casework comparisons
Beyond Suspect Identification: Fingerprint Aging with Machine Learning and Multidimensional Chemical Analysis
Touch DNA in Activity-Level Propositions: A Bullpen of Events to Inform Alternate Prosecution and Defense Scenarios
Measuring rarity of combined features in palm versus finger impressions and evaluating examiner perceptions
Improving methods for fingerprint development on hand-guns
Latent Print Detection by MacroRaman Imaging
Support NIST Work on Fingerprint Database
Universal IR Fluorescent Latent-Print Detection Method
Black Box and White Box Forensic Examiner Evaluations - Understanding the Details
A Comprehensive Look at LatentSleuth
Results of a Black Box Study on the Accuracy and Reliability of Palm Print Comparisons
Latent Fingerprint Image Enhancement & Matching Using Deep Generative Adversarial Networks
Fluid Dynamic Studies of Bloody Fingermarks
Human Factors in Latent Print Examination
The NIJ-sponsored Expert Working Group on Human Factors in Latent Print Analysis is clarifying potential sources of error in pattern recognition analysis. It will develop best practices to remove or minimize these sources. NIJ is addressing recommendations in the 2009 National Academy of Sciences' report titled "Strengthening Forensic Science in the United States: A Path Forward." Specifically, the panelists focus on recommendation 5, which encourages research programs on human observer bias and sources of human error in forensic examinations.
Review the YouTube Terms of Service and the Google Privacy Policy