Prototype systems evaluated by NIST performed surprisingly well for a developing technology: half of the prototypes were accurate at least 80 percent of the time and one had a near perfect score. Automating the manual portion of the work frees up time for trained examiners to spend time on very difficult images that the software has little hope of processing.
As any TV crime series fan knows, latent prints are left behind any time someone touches something. While ubiquitous, “latents” often include only part of the finger—maybe just a few ridges—and sometimes are left on textured materials, adding even more challenges.
To identify the owner, a fingerprint examiner must first carefully mark the distinguishing features of the full or partial print, beginning with the positions where ridges end or branch. Then the latent is entered into a counter-terrorist or law enforcement identification system such as the Federal Bureau of Investigation’s Integrated Automated Fingerprint Identification System (IAFIS). The FBI’s system compares latents against the 55 million sets of ten-print cards taken at arrest.
The IAFIS system was a significant advance. Now the manual, mark-up portion of latent fingerprint identification is being automated with an emerging technology called Automatic Feature Extraction and Matching (AFEM). NIST biometric researchers assessed prototypes that eight vendors are developing.
In the evaluation, researchers used a data set of 835 latent prints and 100,000 fingerprints that have been used in real case examinations.
The AFEM software extracted the distinguishing features of the latent prints, then compared them against 100,000 fingerprints. For each print the software provided a list of 50 candidates that the fingerprint specialists compared by hand. Most identities were found within the top 10.
In order of performance, the most accurate prototypes were furnished by NEC Corp., Cogent Inc., SPEX Forensics, Inc., Motorola, Inc. and L1 Identity Solutions. Results ranged from nearly 100 percent for the most accurate product to around 80 percent for the last three listed.
The evaluations also showed a strong correlation between the number of distinguishing features in a latent print and its ability to match for all prototypes and that the quality of the image data strongly influences accuracy.
“While the testing has demonstrated accuracy beyond pre-test expectations, the potential of the technology remains undefined and further testing is required,” said computer scientist Patrick Grother. “In the future we will look at lower quality latent images to understand the technology’s limitations and we will support development of a standardized feature set that extends the one currently used by examiners for searches.”
The research was funded by the Department of Homeland Security’s Science and Technology Directorate and the FBI’s Criminal Justice Information Services Division. The report, An Evaluation of Automated Latent Fingerprint Identification Technologies, is available at http://fingerprint.nist.gov/latent/NISTIR_7577_ELFT_PhaseII.pdf
Evelyn Brown | EurekAlert!
Information integration and artificial intelligence for better diagnosis and therapy decisions
24.05.2017 | Fraunhofer MEVIS - Institut für Bildgestützte Medizin
World's thinnest hologram paves path to new 3-D world
18.05.2017 | RMIT University
Staphylococcus aureus is a feared pathogen (MRSA, multi-resistant S. aureus) due to frequent resistances against many antibiotics, especially in hospital infections. Researchers at the Paul-Ehrlich-Institut have identified immunological processes that prevent a successful immune response directed against the pathogenic agent. The delivery of bacterial proteins with RNA adjuvant or messenger RNA (mRNA) into immune cells allows the re-direction of the immune response towards an active defense against S. aureus. This could be of significant importance for the development of an effective vaccine. PLOS Pathogens has published these research results online on 25 May 2017.
Staphylococcus aureus (S. aureus) is a bacterium that colonizes by far more than half of the skin and the mucosa of adults, usually without causing infections....
Physicists from the University of Würzburg are capable of generating identical looking single light particles at the push of a button. Two new studies now demonstrate the potential this method holds.
The quantum computer has fuelled the imagination of scientists for decades: It is based on fundamentally different phenomena than a conventional computer....
An international team of physicists has monitored the scattering behaviour of electrons in a non-conducting material in real-time. Their insights could be beneficial for radiotherapy.
We can refer to electrons in non-conducting materials as ‘sluggish’. Typically, they remain fixed in a location, deep inside an atomic composite. It is hence...
Two-dimensional magnetic structures are regarded as a promising material for new types of data storage, since the magnetic properties of individual molecular building blocks can be investigated and modified. For the first time, researchers have now produced a wafer-thin ferrimagnet, in which molecules with different magnetic centers arrange themselves on a gold surface to form a checkerboard pattern. Scientists at the Swiss Nanoscience Institute at the University of Basel and the Paul Scherrer Institute published their findings in the journal Nature Communications.
Ferrimagnets are composed of two centers which are magnetized at different strengths and point in opposing directions. Two-dimensional, quasi-flat ferrimagnets...
An Australian-Chinese research team has created the world's thinnest hologram, paving the way towards the integration of 3D holography into everyday...
24.05.2017 | Event News
23.05.2017 | Event News
22.05.2017 | Event News
26.05.2017 | Life Sciences
26.05.2017 | Life Sciences
26.05.2017 | Physics and Astronomy