{"id":"https://openalex.org/W2116343826","doi":"https://doi.org/10.1109/iwfhr.2002.1030939","title":"Hidden loop recovery for handwriting recognition","display_name":"Hidden loop recovery for handwriting recognition","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2116343826","doi":"https://doi.org/10.1109/iwfhr.2002.1030939","mag":"2116343826"},"language":"en","primary_location":{"id":"doi:10.1109/iwfhr.2002.1030939","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwfhr.2002.1030939","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition","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/A5003875781","display_name":"David Doermann","orcid":"https://orcid.org/0000-0003-1639-4561"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"D. Doermann","raw_affiliation_strings":["Institute of Advanced Computer Studies, University of Maryland, College Park, USA"],"affiliations":[{"raw_affiliation_string":"Institute of Advanced Computer Studies, University of Maryland, College Park, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029500893","display_name":"Nathan Intrator","orcid":"https://orcid.org/0000-0002-5635-9835"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"N. Intrator","raw_affiliation_strings":["School of Computer Science, Tel-Aviv University, Ramat-Aviv, Israel"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Tel-Aviv University, Ramat-Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059855064","display_name":"E. Rivin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"E. Rivin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5079512097","display_name":"T. Steinherz","orcid":null},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"T. Steinherz","raw_affiliation_strings":["School of Computer Science, Tel-Aviv University, Ramat-Aviv, Israel"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Tel-Aviv University, Ramat-Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003875781"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":0.8075,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.74842135,"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":"375","last_page":"380"},"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9993000030517578,"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":0.998199999332428,"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/handwriting","display_name":"Handwriting","score":0.7698066830635071},{"id":"https://openalex.org/keywords/ellipse","display_name":"Ellipse","score":0.724266767501831},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7151252627372742},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6615315675735474},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6540789008140564},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.6147215366363525},{"id":"https://openalex.org/keywords/loop","display_name":"Loop (graph theory)","score":0.5499328374862671},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5254546403884888},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5250484943389893},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5194956064224243},{"id":"https://openalex.org/keywords/handwriting-recognition","display_name":"Handwriting recognition","score":0.5107665061950684},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47791796922683716},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42462635040283203},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.30458199977874756},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15358015894889832}],"concepts":[{"id":"https://openalex.org/C2779386606","wikidata":"https://www.wikidata.org/wiki/Q2393642","display_name":"Handwriting","level":2,"score":0.7698066830635071},{"id":"https://openalex.org/C74261601","wikidata":"https://www.wikidata.org/wiki/Q40112","display_name":"Ellipse","level":2,"score":0.724266767501831},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7151252627372742},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6615315675735474},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6540789008140564},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.6147215366363525},{"id":"https://openalex.org/C184670325","wikidata":"https://www.wikidata.org/wiki/Q512604","display_name":"Loop (graph theory)","level":2,"score":0.5499328374862671},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5254546403884888},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5250484943389893},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5194956064224243},{"id":"https://openalex.org/C112640561","wikidata":"https://www.wikidata.org/wiki/Q2440634","display_name":"Handwriting recognition","level":3,"score":0.5107665061950684},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47791796922683716},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42462635040283203},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.30458199977874756},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15358015894889832},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iwfhr.2002.1030939","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwfhr.2002.1030939","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.133.2409","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.133.2409","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.technion.ac.il/~ehudr/publications/pdf/DoermannIRS02i.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2059167829","https://openalex.org/W2112611022","https://openalex.org/W2400851740"],"related_works":["https://openalex.org/W3003949997","https://openalex.org/W3199359807","https://openalex.org/W2110485610","https://openalex.org/W2107320953","https://openalex.org/W3047607512","https://openalex.org/W2787081548","https://openalex.org/W183832189","https://openalex.org/W3005534356","https://openalex.org/W3163065387","https://openalex.org/W2116570169"],"abstract_inverted_index":{"One":[0],"significant":[1],"challenge":[2],"in":[3,10,22,50],"the":[4,11,45,79,92,96,109],"recognition":[5],"of":[6,13,27,47,82,95,99,108],"off-line":[7,51,101],"handwriting":[8],"is":[9,19,55],"interpretation":[12],"loop":[14],"structures.":[15],"Although":[16],"this":[17,39],"information":[18],"readily":[20],"available":[21],"online":[23,97],"representation,":[24],"close":[25],"proximity":[26],"strokes":[28],"often":[29],"merges":[30],"their":[31],"centers":[32],"making":[33],"them":[34],"difficult":[35],"to":[36,44],"identify.":[37],"In":[38],"paper":[40],"a":[41,68,83],"novel":[42],"approach":[43],"recovery":[46],"hidden":[48],"loops":[49,111],"scanned":[52],"document":[53],"images":[54],"presented.":[56],"The":[57,86],"proposed":[58],"algorithm":[59],"seeks":[60],"blobs":[61],"that":[62],"resemble":[63],"truncated":[64],"ellipses.":[65],"We":[66],"use":[67],"sophisticated":[69],"form":[70],"analysis":[71],"method":[72],"based":[73],"on":[74],"mutual":[75],"distance":[76],"measurements":[77],"between":[78],"two":[80],"sides":[81],"symmetric":[84],"shape.":[85],"experimental":[87],"results":[88],"are":[89,112],"compared":[90],"with":[91],"ground":[93],"truth":[94],"representations":[98],"each":[100],"word":[102],"image.":[103],"More":[104],"than":[105],"86%":[106],"percent":[107],"meaningful":[110],"handled":[113],"correctly.":[114]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}