{"id":"W4411792984","doi":"10.18280/ts.420344","title":"Multimodal Face and Iris Recognition System Based on Local Feature Extraction and Binary Bat Algorithm","year":2025,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"IRIS (biosensor); Artificial intelligence; Computer science; Local binary patterns; Pattern recognition (psychology); Iris recognition; Face (sociological concept); Facial recognition system; Feature extraction; Binary number; Feature (linguistics); Computer vision; Mathematics; Biometrics; Image (mathematics); Histogram","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":[0.0003287297,0.0003515103,0.0007277726,0.000462423,0.0003101338,0.00037858,0.0006253651,0.0004408669,0.002683671],"category_scores_gemma":[0.0004310123,0.0002102019,0.0003537895,0.000404913,0.0001950049,0.0007271708,0.0005386703,0.0003822578,0.001256972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002044132,"about_ca_system_score_gemma":0.0002378878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008817279,"about_ca_topic_score_gemma":0.0008928631,"domain_scores_codex":[0.9996055,0.00006048255,0.00001995983,0.0001196585,0.0001616058,0.0000328314],"domain_scores_gemma":[0.9998434,0.00002606735,0.00002541473,0.00002160812,0.00006912277,0.00001437293],"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":[0.0006109889,0.0001261665,0.002423841,0.0001913722,0.00008374213,0.0001792836,0.000178208,0.02102126,0.3218686,0.003730044,0.004090325,0.6454961],"study_design_scores_gemma":[0.0000606463,0.0005313294,0.0058247,0.00003268439,0.00007524119,0.001118938,0.00005978795,0.8819436,0.1014755,0.001695354,0.007093755,0.000088569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08214469,0.0009356087,0.9073505,0.00020196,0.0001405789,0.0001319126,0.00013844,0.002584531,0.0063718],"genre_scores_gemma":[0.60667,0.0004511982,0.3813785,0.0002056311,0.00008768096,0.0002607343,0.0003436904,0.00005490479,0.01054753],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002683671,"threshold_uncertainty_score":0.008977771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009747386816113477,"score_gpt":0.212125838575347,"score_spread":0.2023784517592335,"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."}}