Score components
Detailed scoring, a part of algorithm transparency,
is a breakdown of similarity score that is computed by SourceAFIS during matching for a pair of fingerprints.
Scoring is done separately for every pairing.
Pairing with the highest total score is selected as the best match.
Scoring for the best match is also recorded under separate best-score key.
| Key | MIME | Filename in ZIP |
|---|---|---|
score | application/cbor | 047-score.cbor |
score | application/cbor | 049-score.cbor |
| ... skipped 56 files ... | ||
score | application/cbor | 163-score.cbor |
score | application/cbor | 165-score.cbor |
best-score | application/cbor | 167-best-score.cbor |
Format
Scoring is recorded as a CBOR-encoded object holding several fields.
Final similarity score is stored in shapedScore field. Other fields describe intermediate scores that contribute to the final score.
minutiaCount- Number of matched minutiae, regardless of correctness of minutia type or accuracy of angles and distances.minutiaScore- Score assigned forminutiaCount.minutiaFractionInProbe- Fraction of probe minutiae that were successfully paired, including approximate matches like inminutiaCount.minutiaFractionInCandidate- LikeminutiaFractionInProbebut for candidate minutiae.minutiaFraction- Average ofminutiaFractionInProbeandminutiaFractionInCandidate.minutiaFractionScore- Score assigned forminutiaFraction.supportingEdgeSum- Number of supporting edges in the pairing graph.edgeCount- Number of edges in the pairing graph, including supporting edges. This value is actually one higher than that.edgeScore- Score assigned foredgeCount.supportedMinutiaCount- Number of minutiae with at least one supporting edge in addition to edges in the pairing tree.supportedMinutiaScore- Score assigned forsupportedMinutiaCount.minutiaTypeHits- Number of matched minutia pairs where probe and candidate minutia have the same type (ending or bifurcation).minutiaTypeScore- Score assigned forminutiaTypeHits.distanceErrorSum- Sum of distance errors, i.e. differences between probe and candidate edge length, for all edges in the pairing tree.distanceAccuracySum- LikedistanceErrorSumbut zero at maximum tolerated distance error and increasing towards exact match.distanceAccuracyScore- Score derived fromdistanceAccuracySumanddistanceErrorSum.angleErrorSum- Sum of angle errors, i.e. differences between probe and candidate edge angles that are measured between reference/neighbor minutia direction and edge direction, for all edges in the pairing tree.angleAccuracySum- LikeangleErrorSumbut zero at maximum tolerated angle error and increasing towards exact match.angleAccuracyScore- Score derived fromangleAccuracySumandangleErrorSum.totalScore- Total raw score computed by adding together above score components.shapedScore- Final similarity score computed fromtotalScorewith the help of monotonic shaping function constructed in such a way as to makeshapedScoreapproximately correspond to FMR (false match rate) thresholds. Increase inshapedScoreby 10 points roughly corresponds to 10x lower FMR.
Example: 047-score.cbor
{ "minutiaCount": 30, "minutiaScore": 0.96, "minutiaFractionInProbe": 0.6521739130434783, "minutiaFractionInCandidate": 0.8108108108108109, "minutiaFraction": 0.7314923619271445, "minutiaFractionScore": 6.568801410105758, "supportingEdgeSum": 284, "edgeCount": 314, "edgeScore": 83.21000000000001, "supportedMinutiaCount": 30, "supportedMinutiaScore": 5.79, "minutiaTypeHits": 26, "minutiaTypeScore": 16.354, "distanceErrorSum": 265, "distanceAccuracySum": 112, "distanceAccuracyScore": 2.9411140583554376, "angleErrorSum": 4.7496614, "angleAccuracySum": 5.373248, "angleAccuracyScore": 1.4809341198205948, "totalScore": 117.3048495882818, "shapedScore": 235.5580484154064 }