{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:U7BUFBTHMEGZW5M2WMR47O2WXC","short_pith_number":"pith:U7BUFBTH","schema_version":"1.0","canonical_sha256":"a7c3428667610d9b759ab323cfbb56b8a816964fffe978cab8f2bc934d67fff6","source":{"kind":"arxiv","id":"2307.01845","version":1},"attestation_state":"computed","paper":{"title":"Deep Features for Contactless Fingerprint Presentation Attack Detection: Can They Be Generalized?","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hailin Li, Raghavendra Ramachandra","submitted_at":"2023-07-04T17:46:20Z","abstract_excerpt":"The rapid evolution of high-end smartphones with advanced high-resolution cameras has resulted in contactless capture of fingerprint biometrics that are more reliable and suitable for verification. Similar to other biometric systems, contactless fingerprint-verification systems are vulnerable to presentation attacks. In this paper, we present a comparative study on the generalizability of seven different pre-trained Convolutional Neural Networks (CNN) and a Vision Transformer (ViT) to reliably detect presentation attacks. Extensive experiments were carried out on publicly available smartphone-"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2307.01845","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-07-04T17:46:20Z","cross_cats_sorted":[],"title_canon_sha256":"d02b50efeb84cac95cd8249ad9e3cbcdbb124bf420fb46a08d59be5ca9cc2dc9","abstract_canon_sha256":"ec2b439a0c057fbe4a5dbb10396507a0b0c98210863133360999b9454ba7eace"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:28:01.655578Z","signature_b64":"AmRCDhv/6DjOj0P1+JU5IKDXdvdpcT9RQIAfCZk/UhxA1Z0gmdpjAW5i6LEJm+54ZaPGgpoSA1dozhNg1ShnDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a7c3428667610d9b759ab323cfbb56b8a816964fffe978cab8f2bc934d67fff6","last_reissued_at":"2026-07-05T06:28:01.655142Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:28:01.655142Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Deep Features for Contactless Fingerprint Presentation Attack Detection: Can They Be Generalized?","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hailin Li, Raghavendra Ramachandra","submitted_at":"2023-07-04T17:46:20Z","abstract_excerpt":"The rapid evolution of high-end smartphones with advanced high-resolution cameras has resulted in contactless capture of fingerprint biometrics that are more reliable and suitable for verification. Similar to other biometric systems, contactless fingerprint-verification systems are vulnerable to presentation attacks. In this paper, we present a comparative study on the generalizability of seven different pre-trained Convolutional Neural Networks (CNN) and a Vision Transformer (ViT) to reliably detect presentation attacks. Extensive experiments were carried out on publicly available smartphone-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.01845","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2307.01845/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2307.01845","created_at":"2026-07-05T06:28:01.655224+00:00"},{"alias_kind":"arxiv_version","alias_value":"2307.01845v1","created_at":"2026-07-05T06:28:01.655224+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.01845","created_at":"2026-07-05T06:28:01.655224+00:00"},{"alias_kind":"pith_short_12","alias_value":"U7BUFBTHMEGZ","created_at":"2026-07-05T06:28:01.655224+00:00"},{"alias_kind":"pith_short_16","alias_value":"U7BUFBTHMEGZW5M2","created_at":"2026-07-05T06:28:01.655224+00:00"},{"alias_kind":"pith_short_8","alias_value":"U7BUFBTH","created_at":"2026-07-05T06:28:01.655224+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/U7BUFBTHMEGZW5M2WMR47O2WXC","json":"https://pith.science/pith/U7BUFBTHMEGZW5M2WMR47O2WXC.json","graph_json":"https://pith.science/api/pith-number/U7BUFBTHMEGZW5M2WMR47O2WXC/graph.json","events_json":"https://pith.science/api/pith-number/U7BUFBTHMEGZW5M2WMR47O2WXC/events.json","paper":"https://pith.science/paper/U7BUFBTH"},"agent_actions":{"view_html":"https://pith.science/pith/U7BUFBTHMEGZW5M2WMR47O2WXC","download_json":"https://pith.science/pith/U7BUFBTHMEGZW5M2WMR47O2WXC.json","view_paper":"https://pith.science/paper/U7BUFBTH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2307.01845&json=true","fetch_graph":"https://pith.science/api/pith-number/U7BUFBTHMEGZW5M2WMR47O2WXC/graph.json","fetch_events":"https://pith.science/api/pith-number/U7BUFBTHMEGZW5M2WMR47O2WXC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/U7BUFBTHMEGZW5M2WMR47O2WXC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/U7BUFBTHMEGZW5M2WMR47O2WXC/action/storage_attestation","attest_author":"https://pith.science/pith/U7BUFBTHMEGZW5M2WMR47O2WXC/action/author_attestation","sign_citation":"https://pith.science/pith/U7BUFBTHMEGZW5M2WMR47O2WXC/action/citation_signature","submit_replication":"https://pith.science/pith/U7BUFBTHMEGZW5M2WMR47O2WXC/action/replication_record"}},"created_at":"2026-07-05T06:28:01.655224+00:00","updated_at":"2026-07-05T06:28:01.655224+00:00"}