乐胖代购免代理版

{"id":"https://openalex.org/W2001659534","doi":"https://doi.org/10.1117/12.839930","title":"Analysis of line structure in handwritten documents using the Hough transform","display_name":"Analysis of line structure in handwritten documents using the Hough transform","publication_year":2009,"publication_date":"2009-12-17","ids":{"openalex":"https://openalex.org/W2001659534","doi":"https://doi.org/10.1117/12.839930","mag":"2001659534"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.839930","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5014335379","display_name":"Gregory R. Ball","orcid":null},"institutions":[],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gregory R. Ball","raw_affiliation_strings":["CEDAR, Univ. at Buffalo (United States)"],"affiliations":[{"raw_affiliation_string":"CEDAR, Univ. at Buffalo (United States)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058364426","display_name":"Harish Kasiviswanathan","orcid":null},"institutions":[],"countries":["US"],"is_corresponding":false,"raw_author_name":"Harish Kasiviswanathan","raw_affiliation_strings":["CEDAR, Univ. at Buffalo (United States)"],"affiliations":[{"raw_affiliation_string":"CEDAR, Univ. at Buffalo (United States)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102711181","display_name":"Sargur N. Srihari","orcid":"https://orcid.org/0000-0002-1554-716X"},"institutions":[],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sargur N. Srihari","raw_affiliation_strings":["CEDAR, Univ. at Buffalo (United States)"],"affiliations":[{"raw_affiliation_string":"CEDAR, Univ. at Buffalo (United States)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043177092","display_name":"Aswin Narayanan","orcid":"https://orcid.org/0000-0002-4473-7886"},"institutions":[],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aswin Narayanan","raw_affiliation_strings":["CEDAR, Univ. at Buffalo (United States)"],"affiliations":[{"raw_affiliation_string":"CEDAR, Univ. at Buffalo (United States)","institution_ids":[]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.309,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":2,"citation_normalized_percentile":{"value":0.6173,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":71,"max":74},"biblio":{"volume":"7534","issue":null,"first_page":"75340Z","last_page":"75340Z"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9997,"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":0.9997,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9972,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9965,"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/hough-transform","display_name":"Hough Transform","score":0.9111583},{"id":"https://openalex.org/keywords/handwriting","display_name":"Handwriting","score":0.69615847},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.66872776},{"id":"https://openalex.org/keywords/line-segment","display_name":"Line segment","score":0.47321454},{"id":"https://openalex.org/keywords/handwriting-recognition","display_name":"Handwriting Recognition","score":0.44475082},{"id":"https://openalex.org/keywords/connected-component","display_name":"Connected component","score":0.43025863}],"concepts":[{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.9111583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.84882295},{"id":"https://openalex.org/C43711488","wikidata":"https://www.wikidata.org/wiki/Q7534783","display_name":"Skew","level":2,"score":0.74840236},{"id":"https://openalex.org/C2779386606","wikidata":"https://www.wikidata.org/wiki/Q2393642","display_name":"Handwriting","level":2,"score":0.69615847},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.66872776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.58148247},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5605195},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4790848},{"id":"https://openalex.org/C182124507","wikidata":"https://www.wikidata.org/wiki/Q166154","display_name":"Line segment","level":2,"score":0.47321454},{"id":"https://openalex.org/C112640561","wikidata":"https://www.wikidata.org/wiki/Q2440634","display_name":"Handwriting recognition","level":3,"score":0.44475082},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43549544},{"id":"https://openalex.org/C193435613","wikidata":"https://www.wikidata.org/wiki/Q2997928","display_name":"Connected component","level":2,"score":0.43025863},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3616932},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.23546225},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17265233},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07693392},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07370868},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.839930","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W581142974","https://openalex.org/W3199359807","https://openalex.org/W3003949997","https://openalex.org/W2349439813","https://openalex.org/W2133640447","https://openalex.org/W2125790330","https://openalex.org/W2100522530","https://openalex.org/W2093427527","https://openalex.org/W1970655187","https://openalex.org/W1920486319"],"abstract_inverted_index":{"In":[0,119],"the":[1,17,64,67,75,115,123,129],"analysis":[2,127],"of":[3,12,16,21,25,66,77,125],"handwriting":[4],"in":[5,84,93],"documents":[6,41,73],"a":[7,85,96],"central":[8],"task":[9],"is":[10,106],"that":[11],"determining":[13,79],"line":[14,47,50,52,82],"structure":[15,83],"text,":[18],"e.g.,":[19],"number":[20],"text":[22],"lines,":[23],"location":[24],"their":[26],"starting":[27],"and":[28],"end-points,":[29],"line-width,":[30],"etc.":[31,60],"While":[32],"simple":[33],"methods":[34],"can":[35,89],"handle":[36],"ideal":[37],"images,":[38],"real":[39],"world":[40],"have":[42],"complexities":[43],"such":[44,99,113],"as":[45,100,114],"overlapping":[46],"structure,":[48],"variable":[49],"spacing,":[51],"skew,":[53,55],"document":[54,81],"noisy":[56],"or":[57],"degraded":[58],"images":[59],"This":[61],"paper":[62],"explores":[63],"application":[65],"Hough":[68,130],"transform":[69,131],"method":[70,98],"to":[71],"handwritten":[72,133],"with":[74,95],"goal":[76],"automatically":[78],"global":[80],"top-down":[86,111],"manner":[87],"which":[88],"then":[90],"be":[91],"used":[92],"conjunction":[94],"bottom-up":[97],"connected":[101],"component":[102],"analysis.":[103],"The":[104],"performance":[105,124],"significantly":[107],"better":[108],"than":[109],"other":[110],"methods,":[112],"projection":[116],"profile":[117],"method.":[118],"addition,":[120],"we":[121],"evaluate":[122],"skew":[126],"by":[128],"on":[132],"documents.":[134]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2001659534","counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2024-12-13T12:53:29.556991","created_date":"2016-06-24"}