{"id":"https://openalex.org/W2003682652","doi":"https://doi.org/10.1109/icsai.2014.7009289","title":"A new robust character segmentation method","display_name":"A new robust character segmentation method","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W2003682652","doi":"https://doi.org/10.1109/icsai.2014.7009289","mag":"2003682652"},"language":"en","primary_location":{"id":"doi:10.1109/icsai.2014.7009289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai.2014.7009289","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2014 2nd International Conference on Systems and Informatics (ICSAI 2014)","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/A5001764217","display_name":"Kangli Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kangli Chen","raw_affiliation_strings":["Department of Information and Communication Engineering, Tongji University, Shanghai, China","Department of Information and Communication Engineering, Tongji University, Shanghai 201804, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Department of Information and Communication Engineering, Tongji University, Shanghai 201804, China#TAB#","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5001764217"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1245584,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"220","last_page":"224"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9994000196456909,"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":0.9945999979972839,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9937999844551086,"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/segmentation","display_name":"Segmentation","score":0.8051501512527466},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7085839509963989},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.688747763633728},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6881410479545593},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6560990214347839},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6303141117095947},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6246289610862732},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5540902018547058},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5282099843025208},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5107772350311279},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.46682897210121155},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.355567067861557},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22433927655220032}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8051501512527466},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7085839509963989},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.688747763633728},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6881410479545593},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6560990214347839},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6303141117095947},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6246289610862732},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5540902018547058},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5282099843025208},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5107772350311279},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.46682897210121155},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.355567067861557},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22433927655220032},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsai.2014.7009289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai.2014.7009289","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2014 2nd International Conference on Systems and Informatics (ICSAI 2014)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1504769915","https://openalex.org/W1900141175","https://openalex.org/W1992873413","https://openalex.org/W2030326191","https://openalex.org/W2133003941","https://openalex.org/W2133059825","https://openalex.org/W2138049212","https://openalex.org/W2150995838","https://openalex.org/W2171786422"],"related_works":["https://openalex.org/W1986655823","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W3011384228","https://openalex.org/W2124969951","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W4298131179","https://openalex.org/W2375430703"],"abstract_inverted_index":{"This":[0,73],"paper":[1],"proposed":[2,92],"a":[3],"robust":[4],"segmentation":[5,74,87],"method":[6,90],"which":[7],"can":[8,76],"adopt":[9],"varied":[10],"conditions.":[11,83],"The":[12],"local":[13],"binarization":[14,18],"algorithm":[15,75],"and":[16,50,53,58,67,79],"global":[17],"are":[19,61,71],"used":[20],"as":[21,23],"well":[22],"the":[24,30,35,40,46,56,89],"blob":[25],"analysis":[26],"algorithm.":[27],"Based":[28],"on":[29,45],"long":[31],"line":[32],"fitting":[33],"algorithm,":[34],"bottom":[36],"frame":[37],"connected":[38],"with":[39,85],"characters":[41,66,69],"is":[42,93],"removed;":[43],"based":[44],"characters'":[47],"gradient":[48],"lines":[49],"average":[51],"width":[52],"height":[54],"information,":[55],"left":[57],"right":[59],"frames":[60],"removed.":[62],"Connected":[63],"characters,":[64],"separated":[65],"lost":[68],"problems":[70],"solved.":[72],"process":[77],"fast":[78],"accurately":[80],"in":[81],"various":[82],"Compared":[84],"existing":[86],"methods,":[88],"we":[91],"much":[94],"better":[95],"than":[96],"others'.":[97]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}