{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:YUKLWNJN3XSTOUV7KSUDQGUW5B","short_pith_number":"pith:YUKLWNJN","canonical_record":{"source":{"id":"1312.1512","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/publicdomain/","primary_cat":"cs.CV","submitted_at":"2013-12-05T11:59:31Z","cross_cats_sorted":[],"title_canon_sha256":"36415e970587545c333c2db9dca1384332231a88d3b22d24a0fcb675a736025b","abstract_canon_sha256":"b15383d315c83ace75baaa85ab149847b2aca817622e0aaf9c4e01066f5e8852"},"schema_version":"1.0"},"canonical_sha256":"c514bb352ddde53752bf54a8381a96e843a2c341065a5f53b25e9decfeb3711a","source":{"kind":"arxiv","id":"1312.1512","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1312.1512","created_at":"2026-05-18T03:05:27Z"},{"alias_kind":"arxiv_version","alias_value":"1312.1512v1","created_at":"2026-05-18T03:05:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1312.1512","created_at":"2026-05-18T03:05:27Z"},{"alias_kind":"pith_short_12","alias_value":"YUKLWNJN3XST","created_at":"2026-05-18T12:28:09Z"},{"alias_kind":"pith_short_16","alias_value":"YUKLWNJN3XSTOUV7","created_at":"2026-05-18T12:28:09Z"},{"alias_kind":"pith_short_8","alias_value":"YUKLWNJN","created_at":"2026-05-18T12:28:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:YUKLWNJN3XSTOUV7KSUDQGUW5B","target":"record","payload":{"canonical_record":{"source":{"id":"1312.1512","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/publicdomain/","primary_cat":"cs.CV","submitted_at":"2013-12-05T11:59:31Z","cross_cats_sorted":[],"title_canon_sha256":"36415e970587545c333c2db9dca1384332231a88d3b22d24a0fcb675a736025b","abstract_canon_sha256":"b15383d315c83ace75baaa85ab149847b2aca817622e0aaf9c4e01066f5e8852"},"schema_version":"1.0"},"canonical_sha256":"c514bb352ddde53752bf54a8381a96e843a2c341065a5f53b25e9decfeb3711a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:05:27.078073Z","signature_b64":"ATRQnOEpyDu4tXADJL9tx1l9e7tkmfFgmlvPp9OXjOxNi/rI3K53u6AAZhfmsbWSCU062hlk9aC9hnxKQMfZDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c514bb352ddde53752bf54a8381a96e843a2c341065a5f53b25e9decfeb3711a","last_reissued_at":"2026-05-18T03:05:27.077342Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:05:27.077342Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1312.1512","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:05:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VIfKa6SleU30sDC8oynxpklBAiPaDlCSLPgjtohoYovWh/sLycimpDumJXP9m7o+ggCzTeDmZV2Vupi3LDpUAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T11:43:49.740869Z"},"content_sha256":"320a02e8523a5234e67e7a4eec3eaa8ea3b2c669e50618513e8f98e411d24bf3","schema_version":"1.0","event_id":"sha256:320a02e8523a5234e67e7a4eec3eaa8ea3b2c669e50618513e8f98e411d24bf3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:YUKLWNJN3XSTOUV7KSUDQGUW5B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An adaptive block based integrated LDP,GLCM,and Morphological features for Face Recognition","license":"http://creativecommons.org/licenses/publicdomain/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Arindam Kar, Debotosh Bhattacharjee, Dipak Kumar Basu, Mahantapas Kundu, Mita Nasipuri","submitted_at":"2013-12-05T11:59:31Z","abstract_excerpt":"This paper proposes a technique for automatic face recognition using integrated multiple feature sets extracted from the significant blocks of a gradient image. We discuss about the use of novel morphological, local directional pattern (LDP) and gray-level co-occurrence matrix GLCM based feature extraction technique to recognize human faces. Firstly, the new morphological features i.e., features based on number of runs of pixels in four directions (N,NE,E,NW) are extracted, together with the GLCM based statistical features and LDP features that are less sensitive to the noise and non-monotonic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1312.1512","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:05:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zdjxM7DOIVVZeCRp+uvkcsmYMpzcNc97+SMSE4572Zf9g++i57t/FarDB8n5TjeUZFyS9oXAhldvNf8ie6BjCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T11:43:49.741228Z"},"content_sha256":"ed67198afe75df5faaf3aebbe73375a9dbfce0ea4ba5993aa48f250aaea92eb6","schema_version":"1.0","event_id":"sha256:ed67198afe75df5faaf3aebbe73375a9dbfce0ea4ba5993aa48f250aaea92eb6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YUKLWNJN3XSTOUV7KSUDQGUW5B/bundle.json","state_url":"https://pith.science/pith/YUKLWNJN3XSTOUV7KSUDQGUW5B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YUKLWNJN3XSTOUV7KSUDQGUW5B/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-02T11:43:49Z","links":{"resolver":"https://pith.science/pith/YUKLWNJN3XSTOUV7KSUDQGUW5B","bundle":"https://pith.science/pith/YUKLWNJN3XSTOUV7KSUDQGUW5B/bundle.json","state":"https://pith.science/pith/YUKLWNJN3XSTOUV7KSUDQGUW5B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YUKLWNJN3XSTOUV7KSUDQGUW5B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:YUKLWNJN3XSTOUV7KSUDQGUW5B","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"b15383d315c83ace75baaa85ab149847b2aca817622e0aaf9c4e01066f5e8852","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/publicdomain/","primary_cat":"cs.CV","submitted_at":"2013-12-05T11:59:31Z","title_canon_sha256":"36415e970587545c333c2db9dca1384332231a88d3b22d24a0fcb675a736025b"},"schema_version":"1.0","source":{"id":"1312.1512","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1312.1512","created_at":"2026-05-18T03:05:27Z"},{"alias_kind":"arxiv_version","alias_value":"1312.1512v1","created_at":"2026-05-18T03:05:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1312.1512","created_at":"2026-05-18T03:05:27Z"},{"alias_kind":"pith_short_12","alias_value":"YUKLWNJN3XST","created_at":"2026-05-18T12:28:09Z"},{"alias_kind":"pith_short_16","alias_value":"YUKLWNJN3XSTOUV7","created_at":"2026-05-18T12:28:09Z"},{"alias_kind":"pith_short_8","alias_value":"YUKLWNJN","created_at":"2026-05-18T12:28:09Z"}],"graph_snapshots":[{"event_id":"sha256:ed67198afe75df5faaf3aebbe73375a9dbfce0ea4ba5993aa48f250aaea92eb6","target":"graph","created_at":"2026-05-18T03:05:27Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"This paper proposes a technique for automatic face recognition using integrated multiple feature sets extracted from the significant blocks of a gradient image. We discuss about the use of novel morphological, local directional pattern (LDP) and gray-level co-occurrence matrix GLCM based feature extraction technique to recognize human faces. Firstly, the new morphological features i.e., features based on number of runs of pixels in four directions (N,NE,E,NW) are extracted, together with the GLCM based statistical features and LDP features that are less sensitive to the noise and non-monotonic","authors_text":"Arindam Kar, Debotosh Bhattacharjee, Dipak Kumar Basu, Mahantapas Kundu, Mita Nasipuri","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/publicdomain/","primary_cat":"cs.CV","submitted_at":"2013-12-05T11:59:31Z","title":"An adaptive block based integrated LDP,GLCM,and Morphological features for Face Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1312.1512","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:320a02e8523a5234e67e7a4eec3eaa8ea3b2c669e50618513e8f98e411d24bf3","target":"record","created_at":"2026-05-18T03:05:27Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"b15383d315c83ace75baaa85ab149847b2aca817622e0aaf9c4e01066f5e8852","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/publicdomain/","primary_cat":"cs.CV","submitted_at":"2013-12-05T11:59:31Z","title_canon_sha256":"36415e970587545c333c2db9dca1384332231a88d3b22d24a0fcb675a736025b"},"schema_version":"1.0","source":{"id":"1312.1512","kind":"arxiv","version":1}},"canonical_sha256":"c514bb352ddde53752bf54a8381a96e843a2c341065a5f53b25e9decfeb3711a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c514bb352ddde53752bf54a8381a96e843a2c341065a5f53b25e9decfeb3711a","first_computed_at":"2026-05-18T03:05:27.077342Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:05:27.077342Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ATRQnOEpyDu4tXADJL9tx1l9e7tkmfFgmlvPp9OXjOxNi/rI3K53u6AAZhfmsbWSCU062hlk9aC9hnxKQMfZDg==","signature_status":"signed_v1","signed_at":"2026-05-18T03:05:27.078073Z","signed_message":"canonical_sha256_bytes"},"source_id":"1312.1512","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:320a02e8523a5234e67e7a4eec3eaa8ea3b2c669e50618513e8f98e411d24bf3","sha256:ed67198afe75df5faaf3aebbe73375a9dbfce0ea4ba5993aa48f250aaea92eb6"],"state_sha256":"37555597b6d37f9104ddb38d68d3e57707933ee34e484967c4eb79bb73a35750"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2/p9H74Q95vl5n/uwi/YF3S61/UZT1aKnCKeod28p5zkiEziM3TQiOW9gkai370uDKGcxZPZev2aU8M1k8OOAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T11:43:49.743400Z","bundle_sha256":"32447b90ba8ea0f56b385d2a05ed2742d48bd972f519ea545a7828ad471eb950"}}