Quantifying Latent Fingerprint Quality

MITRE Corporation Computer Science/Mathematics, 2014-15

Liaison(s): Nicholas Orlans, Sarah Doyle
Advisor(s): Yi-Chieh (Jessica) Wu
Students(s): Martin Loncaric (PM-S), Sarah Scheffler (PM-F), Jordan Varney, Christopher Eriksen

The MITRE Corporation has created test methods and fingerprint image quality metrics that automated fingerprint identification systems rely on for function and interoperability. Our team is producing methods to extend MITRE’s system to measure the quality of unintentionally deposited fingerprints, which may be too smudged or incomplete for use. Using image processing and statistical techniques, our model will help determine the strength of evidence provided by a fingerprint image.