{"id":"W4315786042","doi":"10.18280/i2m.210603","title":"Thinning Algorithms Analysis Minutiae Extraction with Terminations and Bifurcation Extraction from the Single-Pixeled Thinned Biometric Image","year":2022,"lang":"en","type":"article","venue":"Instrumentation Mesure Métrologie","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Minutiae; Biometrics; Computer science; Thinning; Artificial intelligence; Feature extraction; Identification (biology); Pattern recognition (psychology); Computer vision; Fingerprint recognition; Fingerprint (computing)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000924707,0.0007219569,0.0006210039,0.001687665,0.000499994,0.0008896548,0.0006423313,0.0006619397,0.003057138],"category_scores_gemma":[0.002023267,0.0004183811,0.0009450421,0.001213853,0.0004494879,0.001057798,0.000422347,0.0007320801,0.001047378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003001418,"about_ca_system_score_gemma":0.0007589213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001222428,"about_ca_topic_score_gemma":0.001399693,"domain_scores_codex":[0.9992824,0.00006458216,0.00007382903,0.0001417383,0.00038576,0.00005169732],"domain_scores_gemma":[0.9991154,0.0002272474,0.0001355912,0.0001545304,0.0003413305,0.00002592564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003768438,0.0001191207,0.004720415,0.0003435161,0.0001054487,0.0002522334,0.0003457048,0.02637774,0.2846723,0.005985254,0.001900723,0.6748008],"study_design_scores_gemma":[0.0000415575,0.0003970441,0.01747767,0.0001007427,0.0001416245,0.001535414,0.0002057831,0.6259212,0.334651,0.004285904,0.01513315,0.0001088863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06008191,0.0004897522,0.9361467,0.00006192934,0.0000734579,0.0001359295,0.0001148567,0.0008438394,0.002051629],"genre_scores_gemma":[0.1931378,0.0006410448,0.8005556,0.00004456263,0.00003605404,0.0001560777,0.0003851034,0.0001740365,0.004869844],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003057138,"threshold_uncertainty_score":0.0102272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03101903213075002,"score_gpt":0.2965696306453887,"score_spread":0.2655505985146387,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}