{"id":"https://openalex.org/W2131076549","doi":"https://doi.org/10.1109/icdar.2007.4378752","title":"Fr&amp;#x0E9;chet Distance Based Approach for Searching Online Handwritten Documents","display_name":"Fr&amp;#x0E9;chet Distance Based Approach for Searching Online Handwritten Documents","publication_year":2007,"publication_date":"2007-09-01","ids":{"openalex":"https://openalex.org/W2131076549","doi":"https://doi.org/10.1109/icdar.2007.4378752","mag":"2131076549"},"language":"en","primary_location":{"id":"doi:10.1109/icdar.2007.4378752","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdar.2007.4378752","pdf_url":null,"source":{"id":"https://openalex.org/S4210215987","display_name":"Proceedings of the International Conference on Document Analysis and Recognition","issn_l":"1520-5363","issn":["1520-5363","2379-2140"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ninth International Conference on Document Analysis and Recognition (ICDAR 2007)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5098373711","display_name":"E. Sriraghavendra","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"E. Sriraghavendra","raw_affiliation_strings":["Dept. of Computer Science & Automation, Indian Institute of Science, Bangalore-12, India","Indian Institute of Science Bangalore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science & Automation, Indian Institute of Science, Bangalore-12, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Indian Institute of Science Bangalore","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040837648","display_name":"K. Karthik","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Karthik K.","raw_affiliation_strings":["Indian Institute of Science, Bangalore","Indian Institute of Science Bangalore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Science, Bangalore","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Indian Institute of Science Bangalore","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032650028","display_name":"Chiranjib Bhattacharyya","orcid":"https://orcid.org/0000-0003-2879-4933"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"C. Bhattacharyya","raw_affiliation_strings":["Dept. of Computer Science & Automation, Indian Institute of Science, Bangalore-12, India","Indian Institute of Science Bangalore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science & Automation, Indian Institute of Science, Bangalore-12, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Indian Institute of Science Bangalore","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59270414"],"apc_list":null,"apc_paid":null,"fwci":2.8907,"has_fulltext":false,"cited_by_count":72,"citation_normalized_percentile":{"value":0.92875232,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"461","last_page":"465"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9991999864578247,"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":0.9988999962806702,"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":0.733020544052124},{"id":"https://openalex.org/keywords/handwriting","display_name":"Handwriting","score":0.6641204953193665},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.6240841150283813},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.611482560634613},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5812868475914001},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.5310813784599304},{"id":"https://openalex.org/keywords/handwriting-recognition","display_name":"Handwriting recognition","score":0.5224096775054932},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49421122670173645},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4384569227695465},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40077295899391174},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34974807500839233},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24004507064819336},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.227055162191391},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.21027034521102905},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20088571310043335}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.733020544052124},{"id":"https://openalex.org/C2779386606","wikidata":"https://www.wikidata.org/wiki/Q2393642","display_name":"Handwriting","level":2,"score":0.6641204953193665},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.6240841150283813},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.611482560634613},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5812868475914001},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.5310813784599304},{"id":"https://openalex.org/C112640561","wikidata":"https://www.wikidata.org/wiki/Q2440634","display_name":"Handwriting recognition","level":3,"score":0.5224096775054932},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49421122670173645},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4384569227695465},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40077295899391174},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34974807500839233},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24004507064819336},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.227055162191391},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.21027034521102905},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20088571310043335},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdar.2007.4378752","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdar.2007.4378752","pdf_url":null,"source":{"id":"https://openalex.org/S4210215987","display_name":"Proceedings of the International Conference on Document Analysis and Recognition","issn_l":"1520-5363","issn":["1520-5363","2379-2140"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ninth International Conference on Document Analysis and Recognition (ICDAR 2007)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8399999737739563,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W54230203","https://openalex.org/W2093651920","https://openalex.org/W2109645316","https://openalex.org/W2124299914","https://openalex.org/W2147510700","https://openalex.org/W2153708898","https://openalex.org/W2168261576","https://openalex.org/W6602235367"],"related_works":["https://openalex.org/W3003949997","https://openalex.org/W2110485610","https://openalex.org/W3199359807","https://openalex.org/W3047607512","https://openalex.org/W4390983538","https://openalex.org/W2744690920","https://openalex.org/W2787081548","https://openalex.org/W183832189","https://openalex.org/W2536878212","https://openalex.org/W3005534356"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,21,29,46,53,60,77,92,130,135],"novel,":[3],"language-neutral":[4],"approach":[5,141],"for":[6,63,86],"searching":[7,38],"online":[8,39],"handwritten":[9,15],"text":[10,42],"using":[11],"Fr\u00b4echet":[12,57,80],"distance.":[13],"Online":[14],"data,":[16],"which":[17],"is":[18,25,43,59,73,97],"available":[19],"as":[20,27,45,99],"time":[22],"series":[23],"(x,y,t),":[24],"treated":[26],"representing":[28],"parameterized":[30],"curve":[31],"in":[32,52,154],"two-dimensions":[33],"and":[34],"the":[35,74,95,121],"problem":[36,47],"of":[37,48,70,76,79,94,108,152],"hand-":[40],"written":[41,112],"posed":[44],"matching":[49,64],"two":[50],"curves":[51],"two-dimensional":[54],"Euclidean":[55],"space.":[56],"distance":[58,81],"natural":[61],"measure":[62],"curves.":[65],"The":[66],"main":[67],"contribu-":[68],"tion":[69],"this":[71],"paper":[72],"formulation":[75],"variant":[78],"that":[82,117],"can":[83,142],"be":[84,143],"used":[85,144],"retrieving":[87],"words":[88,111],"even":[89],"when":[90],"only":[91],"prefix":[93],"word":[96],"given":[98],"query.":[100],"Extensive":[101],"ex-":[102],"periments":[103],"on":[104,129,134],"UNIPEN":[105],"dataset1":[106],"consisting":[107],"over":[109],"16,000":[110],"by":[113],"7":[114],"users":[115],"show":[116],"our":[118],"method":[119],"outperforms":[120],"state-of-the-art":[122],"DTW":[123],"method.":[124],"Experiments":[125],"were":[126],"also":[127],"conducted":[128],"multilingual":[131],"dataset,":[132],"generated":[133],"PDA,":[136],"with":[137],"encouraging":[138],"results.":[139],"Our":[140],"to":[145],"implement":[146],"useful,":[147],"exciting":[148],"features":[149],"like":[150],"auto-completion":[151],"handwriting":[153],"PDAs.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
