{"id":"https://openalex.org/W4247076592","doi":"https://doi.org/10.1109/icpr.2004.1334139","title":"Segmentation and typography extraction in document images using geodesic active regions","display_name":"Segmentation and typography extraction in document images using geodesic active regions","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W4247076592","doi":"https://doi.org/10.1109/icpr.2004.1334139"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2004.1334139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334139","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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/A5038788317","display_name":"B\u00e9n\u00e9dicte Allier","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155607","display_name":"Laboratoire d'Informatique en Images et Syst\u00e8mes d'Information","ror":"https://ror.org/04dv4he91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100532134","https://openalex.org/I112936343","https://openalex.org/I1294671590","https://openalex.org/I188626449","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I4210155607","https://openalex.org/I48430043"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"B. Allier","raw_affiliation_strings":["Lyon Research Center for Images and Intelligent Information Systems, Villeurbanne, France","Laboratoire d'InfoRmatique en Image et Syst\u00e8mes d'information"],"affiliations":[{"raw_affiliation_string":"Lyon Research Center for Images and Intelligent Information Systems, Villeurbanne, France","institution_ids":["https://openalex.org/I4210155607"]},{"raw_affiliation_string":"Laboratoire d'InfoRmatique en Image et Syst\u00e8mes d'information","institution_ids":["https://openalex.org/I4210155607"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108075929","display_name":"Hubert Emptoz","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155607","display_name":"Laboratoire d'Informatique en Images et Syst\u00e8mes d'Information","ror":"https://ror.org/04dv4he91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100532134","https://openalex.org/I112936343","https://openalex.org/I1294671590","https://openalex.org/I188626449","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I203339264","https://openalex.org/I4210155607","https://openalex.org/I48430043"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"H. Emptoz","raw_affiliation_strings":["Lyon Research Center for Images and Intelligent Information Systems, Villeurbanne, France","Laboratoire d'InfoRmatique en Image et Syst\u00e8mes d'information"],"affiliations":[{"raw_affiliation_string":"Lyon Research Center for Images and Intelligent Information Systems, Villeurbanne, France","institution_ids":["https://openalex.org/I4210155607"]},{"raw_affiliation_string":"Laboratoire d'InfoRmatique en Image et Syst\u00e8mes d'information","institution_ids":["https://openalex.org/I4210155607"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038788317"],"corresponding_institution_ids":["https://openalex.org/I4210155607"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.36886161,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"409","last_page":"412 Vol.1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9957000017166138,"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":0.9861000180244446,"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":0.7651580572128296},{"id":"https://openalex.org/keywords/geodesic","display_name":"Geodesic","score":0.7102598547935486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6717671155929565},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.626754641532898},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.60975182056427},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6083754897117615},{"id":"https://openalex.org/keywords/document-processing","display_name":"Document processing","score":0.6073998212814331},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5688006281852722},{"id":"https://openalex.org/keywords/typography","display_name":"Typography","score":0.5578895211219788},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5547585487365723},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5403376817703247},{"id":"https://openalex.org/keywords/mathematical-morphology","display_name":"Mathematical morphology","score":0.5238873362541199},{"id":"https://openalex.org/keywords/document-image-processing","display_name":"Document image processing","score":0.5180975794792175},{"id":"https://openalex.org/keywords/historical-document","display_name":"Historical document","score":0.44012144207954407},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4216676354408264},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40720081329345703},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.36769193410873413},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14610615372657776},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.05948871374130249}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7651580572128296},{"id":"https://openalex.org/C165818556","wikidata":"https://www.wikidata.org/wiki/Q213488","display_name":"Geodesic","level":2,"score":0.7102598547935486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6717671155929565},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.626754641532898},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.60975182056427},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6083754897117615},{"id":"https://openalex.org/C67905146","wikidata":"https://www.wikidata.org/wiki/Q5287646","display_name":"Document processing","level":2,"score":0.6073998212814331},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5688006281852722},{"id":"https://openalex.org/C166422571","wikidata":"https://www.wikidata.org/wiki/Q159964","display_name":"Typography","level":2,"score":0.5578895211219788},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5547585487365723},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5403376817703247},{"id":"https://openalex.org/C185568154","wikidata":"https://www.wikidata.org/wiki/Q530242","display_name":"Mathematical morphology","level":4,"score":0.5238873362541199},{"id":"https://openalex.org/C2988504005","wikidata":"https://www.wikidata.org/wiki/Q379942","display_name":"Document image processing","level":4,"score":0.5180975794792175},{"id":"https://openalex.org/C2778371909","wikidata":"https://www.wikidata.org/wiki/Q3771738","display_name":"Historical document","level":2,"score":0.44012144207954407},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4216676354408264},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40720081329345703},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.36769193410873413},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14610615372657776},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.05948871374130249},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2004.1334139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334139","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01503010v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01503010","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"17th International Conference on Pattern Recognition (ICPR 2004), Aug 2004, Cambridge, United Kingdom. pp.409-412, &#x27E8;10.1109/ICPR.2004.1334139&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2057007714","https://openalex.org/W2060839227","https://openalex.org/W2096803351","https://openalex.org/W2104095591","https://openalex.org/W2104707377","https://openalex.org/W2122145500","https://openalex.org/W2161074727","https://openalex.org/W2620934384","https://openalex.org/W2656152644","https://openalex.org/W2998023265","https://openalex.org/W3149500052","https://openalex.org/W3211330693","https://openalex.org/W4239969473","https://openalex.org/W6675786722","https://openalex.org/W6695606289"],"related_works":["https://openalex.org/W2181567243","https://openalex.org/W2559984738","https://openalex.org/W2610978234","https://openalex.org/W2540290361","https://openalex.org/W2157432648","https://openalex.org/W4377821420","https://openalex.org/W2178966353","https://openalex.org/W2268591602","https://openalex.org/W4247076592","https://openalex.org/W2022335325"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,15,26,81],"problem":[4],"of":[5,17,32,56,83],"typography":[6],"extraction":[7],"in":[8,80],"document":[9,34,84],"images.":[10],"For":[11],"that,":[12],"we":[13],"propose":[14],"use":[16],"robust":[18],"textural":[19],"image":[20,35],"processing":[21,36],"methods":[22],"(Gabor":[23],"filtering":[24],"and":[25,40,49,61],"geodesic":[27],"active":[28],"regions":[29],"model)":[30],"instead":[31],"classical":[33],"techniques":[37],"(physical":[38],"segmentation":[39],"logical":[41],"labeling)":[42],"which":[43],"work":[44],"at":[45],"a":[46,54,66],"pixel":[47],"level":[48],"are":[50],"very":[51],"sensitive":[52],"to":[53,75],"lot":[55],"parameters":[57],"such":[58],"as":[59],"noise":[60],"skewing.":[62],"We":[63],"show,":[64],"on":[65],"few":[67],"examples,":[68],"that":[69],"our":[70],"method":[71],"is":[72],"generic":[73],"enough":[74],"cope":[76],"with":[77],"recurrent":[78],"problems":[79],"field":[82],"processing.":[85]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
