{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:OALQXOPFQ3ARMWWGTDZXFYHQIS","short_pith_number":"pith:OALQXOPF","schema_version":"1.0","canonical_sha256":"70170bb9e586c1165ac698f372e0f044aed2d75f8927edb7f92b278c8decb739","source":{"kind":"arxiv","id":"1602.01927","version":1},"attestation_state":"computed","paper":{"title":"On Feature based Delaunay Triangulation for Palmprint Recognition","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jamil Ahmad, Rashid Jalal Qureshi, Zanobya N. Khan","submitted_at":"2016-02-05T05:31:41Z","abstract_excerpt":"Authentication of individuals via palmprint based biometric system is becoming very popular due to its reliability as it contains unique and stable features. In this paper, we present a novel approach for palmprint recognition and its representation. To extract the palm lines, local thresholding technique Niblack binarization algorithm is adopted. The endpoints of these lines are determined and a connection is created among them using the Delaunay triangulation thereby generating a distinct topological structure of each palmprint. Next, we extract different geometric as well as quantitative fe"},"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":"1602.01927","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2016-02-05T05:31:41Z","cross_cats_sorted":[],"title_canon_sha256":"adcadf1ed4c5b3924335f5bec3fdb598f7aabbeb543a3186ece315318a5b63f7","abstract_canon_sha256":"12d1d01c63f2b16af9fc95c35d01b8b94db196f460d191cb4ed405c8a19c81d7"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:21:15.021575Z","signature_b64":"Jx+xFnyL46MKne+lHehrtgzH3kCVNo0JMoPaOKwzh7W5On5hYv4fkvCVD+G/KD2H+Isw19Cnkg63f9Mz5a0qCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"70170bb9e586c1165ac698f372e0f044aed2d75f8927edb7f92b278c8decb739","last_reissued_at":"2026-05-18T01:21:15.020951Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:21:15.020951Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"On Feature based Delaunay Triangulation for Palmprint Recognition","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jamil Ahmad, Rashid Jalal Qureshi, Zanobya N. Khan","submitted_at":"2016-02-05T05:31:41Z","abstract_excerpt":"Authentication of individuals via palmprint based biometric system is becoming very popular due to its reliability as it contains unique and stable features. In this paper, we present a novel approach for palmprint recognition and its representation. To extract the palm lines, local thresholding technique Niblack binarization algorithm is adopted. The endpoints of these lines are determined and a connection is created among them using the Delaunay triangulation thereby generating a distinct topological structure of each palmprint. Next, we extract different geometric as well as quantitative fe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.01927","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":""},"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":"1602.01927","created_at":"2026-05-18T01:21:15.021035+00:00"},{"alias_kind":"arxiv_version","alias_value":"1602.01927v1","created_at":"2026-05-18T01:21:15.021035+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.01927","created_at":"2026-05-18T01:21:15.021035+00:00"},{"alias_kind":"pith_short_12","alias_value":"OALQXOPFQ3AR","created_at":"2026-05-18T12:30:36.002864+00:00"},{"alias_kind":"pith_short_16","alias_value":"OALQXOPFQ3ARMWWG","created_at":"2026-05-18T12:30:36.002864+00:00"},{"alias_kind":"pith_short_8","alias_value":"OALQXOPF","created_at":"2026-05-18T12:30:36.002864+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/OALQXOPFQ3ARMWWGTDZXFYHQIS","json":"https://pith.science/pith/OALQXOPFQ3ARMWWGTDZXFYHQIS.json","graph_json":"https://pith.science/api/pith-number/OALQXOPFQ3ARMWWGTDZXFYHQIS/graph.json","events_json":"https://pith.science/api/pith-number/OALQXOPFQ3ARMWWGTDZXFYHQIS/events.json","paper":"https://pith.science/paper/OALQXOPF"},"agent_actions":{"view_html":"https://pith.science/pith/OALQXOPFQ3ARMWWGTDZXFYHQIS","download_json":"https://pith.science/pith/OALQXOPFQ3ARMWWGTDZXFYHQIS.json","view_paper":"https://pith.science/paper/OALQXOPF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1602.01927&json=true","fetch_graph":"https://pith.science/api/pith-number/OALQXOPFQ3ARMWWGTDZXFYHQIS/graph.json","fetch_events":"https://pith.science/api/pith-number/OALQXOPFQ3ARMWWGTDZXFYHQIS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/OALQXOPFQ3ARMWWGTDZXFYHQIS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/OALQXOPFQ3ARMWWGTDZXFYHQIS/action/storage_attestation","attest_author":"https://pith.science/pith/OALQXOPFQ3ARMWWGTDZXFYHQIS/action/author_attestation","sign_citation":"https://pith.science/pith/OALQXOPFQ3ARMWWGTDZXFYHQIS/action/citation_signature","submit_replication":"https://pith.science/pith/OALQXOPFQ3ARMWWGTDZXFYHQIS/action/replication_record"}},"created_at":"2026-05-18T01:21:15.021035+00:00","updated_at":"2026-05-18T01:21:15.021035+00:00"}