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Record W2586477229

Evaluation of Techniques for the Visualization of Latent Fingerprints on Canadian Polymer Banknotes

2016· article· en· W2586477229 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicForensic Fingerprint Detection Methods
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsFingerprint (computing)VisualizationMinutiaeRidgeVisibilityCastingComputer scienceArtificial intelligenceFingerprint recognitionMaterials scienceGeographyCartographyComposite material
DOInot available

Abstract

fetched live from OpenAlex

Three techniques were tested for the visualization of latent fingerprintslaid ondifferent regionsof Canadian polymer bank notes. BVDA Gel-lifters, AccuTrans Casting Silicone Material and Natural1 IR fluorescent powder were tested to visualize fresh fingerprints on the banknotesof different denominations. All the techniqueswere found to show remarkable ridge details with clear visibility of minutiae in fresh fingerprints inthe three regionsof these bank notes which have different printing qualities.However,in the aged fingerprints the quality of ridge details was dependent on the technique used and the region of the bank notes.The Gel lifter and Natural IR1 powder showed promising results in all the three areas of different complexities.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.963
Threshold uncertainty score0.909

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.087
GPT teacher head0.411
Teacher spread0.324 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations4
Published2016
Admission routes2
Has abstractyes

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