{"id":"https://openalex.org/W1967791439","doi":"https://doi.org/10.1109/tip.2014.2341935","title":"A Novel Text Detection System Based on Character and Link Energies","display_name":"A Novel Text Detection System Based on Character and Link Energies","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W1967791439","doi":"https://doi.org/10.1109/tip.2014.2341935","mag":"1967791439","pmid":"https://pubmed.ncbi.nlm.nih.gov/25069115"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2014.2341935","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2014.2341935","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5052709846","display_name":"Jing Zhang","orcid":"https://orcid.org/0000-0003-3516-0111"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]},{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jing Zhang","raw_affiliation_strings":["Department of Radiology, Duke University, Durham, NC, USA","Dept of Comput. Sci. & Eng., Univ. of South Florida, Tampa, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]},{"raw_affiliation_string":"Dept of Comput. Sci. & Eng., Univ. of South Florida, Tampa, FL, USA","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063184621","display_name":"Rangachar Kasturi","orcid":"https://orcid.org/0000-0003-3956-1967"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rangachar Kasturi","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Florida, Tampa, FL, USA","Dept of Comput. Sci. & Eng., Univ. of South Florida, Tampa, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Florida, Tampa, FL, USA","institution_ids":["https://openalex.org/I2613432"]},{"raw_affiliation_string":"Dept of Comput. Sci. & Eng., Univ. of South Florida, Tampa, FL, USA","institution_ids":["https://openalex.org/I2613432"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.5799,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.96789426,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"23","issue":"9","first_page":"1","last_page":"1"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9984999895095825,"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":0.9975000023841858,"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/character","display_name":"Character (mathematics)","score":0.7911372184753418},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6523707509040833},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6166725754737854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6124196648597717},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5453912019729614},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5321675539016724},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.48849666118621826},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.4524485170841217},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.4468207061290741},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.44577479362487793},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4294697940349579},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38347330689430237},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2071460783481598},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09289568662643433},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09079062938690186}],"concepts":[{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.7911372184753418},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6523707509040833},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6166725754737854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6124196648597717},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5453912019729614},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5321675539016724},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.48849666118621826},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.4524485170841217},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.4468207061290741},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.44577479362487793},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4294697940349579},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38347330689430237},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2071460783481598},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09289568662643433},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09079062938690186},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2014.2341935","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2014.2341935","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:25069115","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25069115","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1491464941","https://openalex.org/W1497790312","https://openalex.org/W1506567108","https://openalex.org/W1521064364","https://openalex.org/W1814573448","https://openalex.org/W1964883574","https://openalex.org/W2003370853","https://openalex.org/W2014286161","https://openalex.org/W2017927472","https://openalex.org/W2027883219","https://openalex.org/W2030536784","https://openalex.org/W2033961077","https://openalex.org/W2056860348","https://openalex.org/W2099563413","https://openalex.org/W2100227834","https://openalex.org/W2104946622","https://openalex.org/W2108807675","https://openalex.org/W2110315813","https://openalex.org/W2130343778","https://openalex.org/W2131163834","https://openalex.org/W2131673214","https://openalex.org/W2134378185","https://openalex.org/W2137718414","https://openalex.org/W2137969867","https://openalex.org/W2138554244","https://openalex.org/W2140132917","https://openalex.org/W2141822239","https://openalex.org/W2142082467","https://openalex.org/W2142159465","https://openalex.org/W2143127796","https://openalex.org/W2146073616","https://openalex.org/W2147244286","https://openalex.org/W2158710217","https://openalex.org/W2165569569","https://openalex.org/W2166949156","https://openalex.org/W2543194056","https://openalex.org/W6629384867","https://openalex.org/W6631165897","https://openalex.org/W6638509796","https://openalex.org/W6675279004","https://openalex.org/W6679270129","https://openalex.org/W6679413825","https://openalex.org/W6679774445","https://openalex.org/W6680386822","https://openalex.org/W6681356756","https://openalex.org/W6681893978","https://openalex.org/W6729014950"],"related_works":["https://openalex.org/W2766932195","https://openalex.org/W2975200075","https://openalex.org/W2007544051","https://openalex.org/W2112002268","https://openalex.org/W2295869952","https://openalex.org/W1837097281","https://openalex.org/W1966410754","https://openalex.org/W1996490590","https://openalex.org/W2363840281","https://openalex.org/W1569815043"],"abstract_inverted_index":{"We":[0,148],"propose":[1],"a":[2,38,51,63,118,145],"novel":[3],"method":[4,155,174],"by":[5,50],"using":[6],"three":[7],"new":[8,26],"character":[9,36,72,80,128],"features":[10],"to":[11,31,132],"detect":[12],"text":[13,27,33,64,124,134,146,184],"objects":[14,187],"comprising":[15],"two":[16,45,83],"or":[17],"more":[18],"isolated":[19],"characters":[20,47,54,113,181],"in":[21,40,88,105],"images":[22],"and":[23,43,55,91,110,129,164,182],"videos.":[24],"A":[25],"model":[28,42],"is":[29,37,144],"constructed":[30],"describe":[32],"objects.":[34],"Each":[35],"part":[39],"the":[41,56,103,139,142,150,153,177],"every":[44,67,94,122],"neighboring":[46],"are":[48,60,115],"connected":[49],"link.":[52],"Two":[53],"link":[57,99,130],"connecting":[58],"them":[59],"defined":[61],"as":[62],"unit.":[65],"For":[66,93,121],"candidate":[68,95,123,143],"part,":[69],"we":[70,97,126],"compute":[71,98,133],"energy":[73,100,136],"based":[74,101],"on":[75,102,156],"our":[76,173],"observation":[77],"that":[78,114,141,172],"each":[79],"stroke":[81,108],"forms":[82],"edges":[84],"with":[85],"high":[86],"similarities":[87,104],"length,":[89],"curvature,":[90],"orientation.":[92],"link,":[96],"color,":[106],"size,":[107],"width,":[109],"spacing":[111],"between":[112],"aligned":[116],"along":[117],"particular":[119],"direction.":[120],"unit,":[125],"combine":[127],"energies":[131],"unit":[135],"which":[137],"measures":[138],"likelihood":[140],"object.":[147],"evaluated":[149],"performance":[151],"of":[152,180],"proposed":[154],"ICDAR":[157],"2003/2005":[158],"dataset,":[159,163],"Microsoft":[160],"Street":[161],"view":[162],"VACE":[165],"video":[166],"dataset.":[167],"The":[168],"experimental":[169],"results":[170],"demonstrate":[171],"can":[175],"capture":[176],"inherent":[178],"properties":[179],"discriminate":[183],"from":[185],"other":[186],"effectively.":[188]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":12}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
