{"id":"https://openalex.org/W2068552470","doi":"https://doi.org/10.1145/2595188.2595201","title":"Recognition of degraded ancient characters based on dense SIFT","display_name":"Recognition of degraded ancient characters based on dense SIFT","publication_year":2014,"publication_date":"2014-05-19","ids":{"openalex":"https://openalex.org/W2068552470","doi":"https://doi.org/10.1145/2595188.2595201","mag":"2068552470"},"language":"en","primary_location":{"id":"doi:10.1145/2595188.2595201","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2595188.2595201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the First International Conference on Digital Access to Textual Cultural Heritage","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103147952","display_name":"Sajid Saleem","orcid":"https://orcid.org/0000-0003-1853-5364"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Sajid Saleem","raw_affiliation_strings":["Vienna University of Technology, Vienna, Austria","Vienna University of technology, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vienna University of Technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]},{"raw_affiliation_string":"Vienna University of technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005920625","display_name":"Fabian Hollaus","orcid":"https://orcid.org/0000-0002-5708-3666"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Fabian Hollaus","raw_affiliation_strings":["Vienna University of Technology, Vienna, Austria","Vienna University of technology, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vienna University of Technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]},{"raw_affiliation_string":"Vienna University of technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019162549","display_name":"Robert Sablatnig","orcid":"https://orcid.org/0000-0003-4195-1593"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Robert Sablatnig","raw_affiliation_strings":["Vienna University of Technology, Vienna, Austria","Vienna University of technology, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vienna University of Technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]},{"raw_affiliation_string":"Vienna University of technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145847075"],"apc_list":null,"apc_paid":null,"fwci":0.9889,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.80757623,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"15","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7765464782714844},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.759870707988739},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7330424189567566},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.6763001084327698},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.662225604057312},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.5734255313873291},{"id":"https://openalex.org/keywords/character-recognition","display_name":"Character recognition","score":0.5692758560180664},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5246593952178955},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.49049824476242065},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4310173988342285},{"id":"https://openalex.org/keywords/optical-character-recognition","display_name":"Optical character recognition","score":0.41743218898773193},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3478747606277466},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3020266890525818},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12126940488815308}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7765464782714844},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.759870707988739},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7330424189567566},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.6763001084327698},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.662225604057312},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.5734255313873291},{"id":"https://openalex.org/C2987247673","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Character recognition","level":3,"score":0.5692758560180664},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5246593952178955},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.49049824476242065},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4310173988342285},{"id":"https://openalex.org/C546480517","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Optical character recognition","level":3,"score":0.41743218898773193},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3478747606277466},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3020266890525818},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12126940488815308},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2595188.2595201","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2595188.2595201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the First International Conference on Digital Access to Textual Cultural Heritage","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G8322102023","display_name":"The Enigma of the Sinaitic Glagolitic Tradition","funder_award_id":"P23133","funder_id":"https://openalex.org/F4320321181","funder_display_name":"Austrian Science Fund"}],"funders":[{"id":"https://openalex.org/F4320309616","display_name":"Technische Universitat Wien","ror":"https://ror.org/04d836q62"},{"id":"https://openalex.org/F4320321181","display_name":"Austrian Science Fund","ror":"https://ror.org/013tf3c58"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1677409904","https://openalex.org/W2081868602","https://openalex.org/W2095220471","https://openalex.org/W2114503608","https://openalex.org/W2122585011","https://openalex.org/W2133059825","https://openalex.org/W2133503046","https://openalex.org/W2134097102","https://openalex.org/W2141756865","https://openalex.org/W2151103935","https://openalex.org/W2154045346","https://openalex.org/W2156552441","https://openalex.org/W2162395775","https://openalex.org/W2162762921","https://openalex.org/W6680096826"],"related_works":["https://openalex.org/W4312612713","https://openalex.org/W2570218756","https://openalex.org/W2042634493","https://openalex.org/W2728450881","https://openalex.org/W2100798736","https://openalex.org/W2481236784","https://openalex.org/W4383748232","https://openalex.org/W2085262576","https://openalex.org/W2786227708","https://openalex.org/W4388089185"],"abstract_inverted_index":{"This":[0,85],"paper":[1],"presents":[2],"a":[3,118],"novel":[4],"method":[5,16,50,115,126],"for":[6,21,128],"the":[7,26,33,60,65,73,76,79,82,91,105,114],"recognition":[8,28,101,121],"of":[9,32,59,78,102],"ancient":[10],"characters":[11,103],"in":[12,24,87,90,98,104],"historical":[13,130],"documents.":[14,106,131],"The":[15,49,70,107],"proposed":[17,51,116],"is":[18,36],"especially":[19],"designed":[20,127],"degraded":[22],"documents":[23,80],"which":[25,96],"character":[27,120],"based":[29],"on":[30,109],"state":[31],"art":[34],"methods":[35],"hard":[37],"to":[38,41,124],"achieve":[39],"due":[40],"faded":[42],"out":[43],"ink,":[44],"stain":[45],"and":[46,64,81,100],"background":[47],"noise.":[48],"deals":[52],"with":[53],"such":[54],"degradations":[55],"by":[56],"making":[57],"use":[58],"Dense":[61],"SIFT":[62],"features":[63,77],"nearest":[66,92],"neighbor":[67,93],"distance":[68,94],"maps.":[69],"maps":[71,95],"encode":[72],"distances":[74],"between":[75],"training":[83],"set.":[84],"results":[86],"local":[88],"minima":[89],"help":[97],"localization":[99],"experiments":[108],"three":[110],"datasets":[111],"show":[112],"that":[113],"achieves":[117],"better":[119],"performance":[122],"compared":[123],"another":[125],"similar":[129]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}