{"id":"W4415275162","doi":"10.18280/isi.300813","title":"ID Card Spoofing Detection Using Frequency Features and CNNs","year":2025,"lang":"","type":"article","venue":"Ingénierie des systèmes d information","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pattern recognition (psychology); Feature (linguistics); Noise (video); Convolutional neural network; Feature extraction; Masking (illustration)","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":[0.0005292557,0.001128187,0.000696165,0.001598585,0.000305142,0.0007885687,0.0008650433,0.0007040821,0.001042035],"category_scores_gemma":[0.00130654,0.0003011628,0.0006073294,0.0007143019,0.0003606646,0.001404208,0.000915684,0.000720414,0.0009168455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007399815,"about_ca_system_score_gemma":0.0005665662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005190649,"about_ca_topic_score_gemma":0.005576449,"domain_scores_codex":[0.9995011,0.00005043721,0.00002314768,0.0001240388,0.0001822491,0.0001189718],"domain_scores_gemma":[0.9996068,0.00007214984,0.00008855372,0.00009072429,0.000124776,0.00001700585],"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":[0.0006072336,0.0002363444,0.009759221,0.0001804634,0.0001742161,0.0002982474,0.00006781112,0.07438415,0.07073856,0.002805013,0.006305084,0.8344437],"study_design_scores_gemma":[0.00001203657,0.00009010461,0.005554947,0.00003576118,0.00008585551,0.000282428,0.00004127234,0.9424046,0.04588721,0.001537353,0.00404156,0.00002690549],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3285111,0.003622662,0.6491048,0.0005788197,0.0004123944,0.0001833144,0.0009415091,0.005596643,0.01104859],"genre_scores_gemma":[0.9036777,0.0009719026,0.08765215,0.0001835278,0.0001081537,0.00005011509,0.001297131,0.00007642703,0.005982972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005190649,"threshold_uncertainty_score":0.01032084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0125246489733023,"score_gpt":0.240276300935788,"score_spread":0.2277516519624857,"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."}}