{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:OUVTO2X66RZYTHJUMFAUNBUTZP","short_pith_number":"pith:OUVTO2X6","schema_version":"1.0","canonical_sha256":"752b376afef473899d346141468693cbdf679b3293d5f71487405c8e37dc7234","source":{"kind":"arxiv","id":"1908.00634","version":1},"attestation_state":"computed","paper":{"title":"Neural Architecture based on Fuzzy Perceptual Representation For Online Multilingual Handwriting Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Adel M. Alimi, Anis Samet, Hanen Akouaydi, Mourad Zaied, Sourour Njah, Thameur Dhieb, Wael Ouarda","submitted_at":"2019-08-01T21:19:01Z","abstract_excerpt":"Due to the omnipresence of mobile devices, online handwritten scripts have become the most important feeding input to smartphones and tablet devices. To increase online handwriting recognition performance, deeper neural networks have extensively been used. In this context, our paper handles the problem of online handwritten script recognition based on extraction features system and deep approach system for sequences classification. Many solutions have appeared in order to facilitate the recognition of handwriting. Accordingly, we used an existent method and combined with new classifiers in ord"},"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":"1908.00634","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-01T21:19:01Z","cross_cats_sorted":[],"title_canon_sha256":"91e81ffbaf405b381cfb3ddde027bc0c5736dd41b36c334247556fd9a4ca39a8","abstract_canon_sha256":"87888762d7dbe7229d3bdb2018cc32e379e0f318a7fae1c3cade7cff074a9e2d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-04T23:51:07.674547Z","signature_b64":"XHYSQLOq7yzsNlYyHkPKfrjmsnq8tmCmDnOfyJz4WbxR6BWhHZDRnTdOzhY4GW8iEbBNIcIqvPktqvo6s5cbDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"752b376afef473899d346141468693cbdf679b3293d5f71487405c8e37dc7234","last_reissued_at":"2026-07-04T23:51:07.674132Z","signature_status":"signed_v1","first_computed_at":"2026-07-04T23:51:07.674132Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Neural Architecture based on Fuzzy Perceptual Representation For Online Multilingual Handwriting Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Adel M. Alimi, Anis Samet, Hanen Akouaydi, Mourad Zaied, Sourour Njah, Thameur Dhieb, Wael Ouarda","submitted_at":"2019-08-01T21:19:01Z","abstract_excerpt":"Due to the omnipresence of mobile devices, online handwritten scripts have become the most important feeding input to smartphones and tablet devices. To increase online handwriting recognition performance, deeper neural networks have extensively been used. In this context, our paper handles the problem of online handwritten script recognition based on extraction features system and deep approach system for sequences classification. Many solutions have appeared in order to facilitate the recognition of handwriting. Accordingly, we used an existent method and combined with new classifiers in ord"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.00634","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/1908.00634/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":"1908.00634","created_at":"2026-07-04T23:51:07.674202+00:00"},{"alias_kind":"arxiv_version","alias_value":"1908.00634v1","created_at":"2026-07-04T23:51:07.674202+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.00634","created_at":"2026-07-04T23:51:07.674202+00:00"},{"alias_kind":"pith_short_12","alias_value":"OUVTO2X66RZY","created_at":"2026-07-04T23:51:07.674202+00:00"},{"alias_kind":"pith_short_16","alias_value":"OUVTO2X66RZYTHJU","created_at":"2026-07-04T23:51:07.674202+00:00"},{"alias_kind":"pith_short_8","alias_value":"OUVTO2X6","created_at":"2026-07-04T23:51:07.674202+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/OUVTO2X66RZYTHJUMFAUNBUTZP","json":"https://pith.science/pith/OUVTO2X66RZYTHJUMFAUNBUTZP.json","graph_json":"https://pith.science/api/pith-number/OUVTO2X66RZYTHJUMFAUNBUTZP/graph.json","events_json":"https://pith.science/api/pith-number/OUVTO2X66RZYTHJUMFAUNBUTZP/events.json","paper":"https://pith.science/paper/OUVTO2X6"},"agent_actions":{"view_html":"https://pith.science/pith/OUVTO2X66RZYTHJUMFAUNBUTZP","download_json":"https://pith.science/pith/OUVTO2X66RZYTHJUMFAUNBUTZP.json","view_paper":"https://pith.science/paper/OUVTO2X6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1908.00634&json=true","fetch_graph":"https://pith.science/api/pith-number/OUVTO2X66RZYTHJUMFAUNBUTZP/graph.json","fetch_events":"https://pith.science/api/pith-number/OUVTO2X66RZYTHJUMFAUNBUTZP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/OUVTO2X66RZYTHJUMFAUNBUTZP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/OUVTO2X66RZYTHJUMFAUNBUTZP/action/storage_attestation","attest_author":"https://pith.science/pith/OUVTO2X66RZYTHJUMFAUNBUTZP/action/author_attestation","sign_citation":"https://pith.science/pith/OUVTO2X66RZYTHJUMFAUNBUTZP/action/citation_signature","submit_replication":"https://pith.science/pith/OUVTO2X66RZYTHJUMFAUNBUTZP/action/replication_record"}},"created_at":"2026-07-04T23:51:07.674202+00:00","updated_at":"2026-07-04T23:51:07.674202+00:00"}