{"id":"https://openalex.org/W1650910365","doi":"https://doi.org/10.1109/icpr.2002.1044768","title":"A new textual/non-textual classifier for document skew correction","display_name":"A new textual/non-textual classifier for document skew correction","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W1650910365","doi":"https://doi.org/10.1109/icpr.2002.1044768","mag":"1650910365"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2002.1044768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1044768","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","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/A5100452966","display_name":"Xiaoyan Zhu","orcid":"https://orcid.org/0000-0001-5361-6691"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoyan Zhu","raw_affiliation_strings":["State Key Laboratory of lntelligent Technology & Systems, Department of computer Science & Technology, Tsinghua University, Beijing, China","Dept. of Computer Science & Technology, Tsinghua University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of lntelligent Technology & Systems, Department of computer Science & Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Computer Science & Technology, Tsinghua University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111954563","display_name":"Xiaoxin Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxin Yin","raw_affiliation_strings":["State Key Laboratory of . of computer Science & Technology, Tsinghua University, Beijing, China","Dept. of Computer Science & Technology, Tsinghua University, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of . of computer Science & Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept. of Computer Science & Technology, Tsinghua University, Beijing, China#TAB#","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100452966"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.5338,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.65298658,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"480","last_page":"482"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9987000226974487,"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":0.9987000226974487,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9944000244140625,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9699000120162964,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/skew","display_name":"Skew","score":0.8744259476661682},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7972696423530579},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6097245216369629},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5560916662216187},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5109747648239136},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4606807827949524},{"id":"https://openalex.org/keywords/document-image-processing","display_name":"Document image processing","score":0.4494103491306305},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4267624616622925},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39142799377441406},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07570308446884155},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.07278519868850708}],"concepts":[{"id":"https://openalex.org/C43711488","wikidata":"https://www.wikidata.org/wiki/Q7534783","display_name":"Skew","level":2,"score":0.8744259476661682},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7972696423530579},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6097245216369629},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5560916662216187},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5109747648239136},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4606807827949524},{"id":"https://openalex.org/C2988504005","wikidata":"https://www.wikidata.org/wiki/Q379942","display_name":"Document image processing","level":4,"score":0.4494103491306305},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4267624616622925},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39142799377441406},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07570308446884155},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.07278519868850708},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2002.1044768","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1044768","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2001968227","https://openalex.org/W2078809407","https://openalex.org/W2139212933","https://openalex.org/W2149031505"],"related_works":["https://openalex.org/W4290802965","https://openalex.org/W97789383","https://openalex.org/W3087516072","https://openalex.org/W2727156679","https://openalex.org/W4289406402","https://openalex.org/W2122960013","https://openalex.org/W2153455713","https://openalex.org/W2087160907","https://openalex.org/W2238745234","https://openalex.org/W3006011403"],"abstract_inverted_index":{"A":[0],"robust":[1,28],"approach":[2,39],"is":[3],"proposed":[4],"for":[5],"document":[6],"skew":[7,33],"detection.":[8],"We":[9,24],"use":[10],"Fourier":[11],"analysis":[12],"and":[13],"SVM":[14],"to":[15,30],"classify":[16],"textual":[17,36],"areas":[18,21],"from":[19,35],"non-textual":[20,49],"of":[22,48],"documents.":[23],"also":[25],"propose":[26],"a":[27],"method":[29],"determine":[31],"the":[32],"angle":[34],"areas.":[37],"Our":[38],"achieves":[40],"good":[41],"performance":[42],"on":[43],"documents":[44],"with":[45],"large":[46],"area":[47],"contents.":[50]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}