{"id":"https://openalex.org/W2046322280","doi":"https://doi.org/10.1145/1774088.1774099","title":"Evaluation of different feature sets in an OCR free method for word spotting in printed documents","display_name":"Evaluation of different feature sets in an OCR free method for word spotting in printed documents","publication_year":2010,"publication_date":"2010-03-22","ids":{"openalex":"https://openalex.org/W2046322280","doi":"https://doi.org/10.1145/1774088.1774099","mag":"2046322280"},"language":"en","primary_location":{"id":"doi:10.1145/1774088.1774099","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1774088.1774099","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2010 ACM Symposium on Applied Computing","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/A5035860744","display_name":"Israel Rios","orcid":null},"institutions":[{"id":"https://openalex.org/I176838256","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1","ror":"https://ror.org/02x1vjk79","country_code":"BR","type":"education","lineage":["https://openalex.org/I176838256"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Israel Rios","raw_affiliation_strings":["PUCPR, Curitiba, Brazil"],"affiliations":[{"raw_affiliation_string":"PUCPR, Curitiba, Brazil","institution_ids":["https://openalex.org/I176838256"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112404986","display_name":"Alceu S. Britto","orcid":null},"institutions":[{"id":"https://openalex.org/I176838256","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1","ror":"https://ror.org/02x1vjk79","country_code":"BR","type":"education","lineage":["https://openalex.org/I176838256"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alceu S. Britto","raw_affiliation_strings":["PUCPR, Curitiba, Brazil and UEPG, Ponta Grossa, Brazil"],"affiliations":[{"raw_affiliation_string":"PUCPR, Curitiba, Brazil and UEPG, Ponta Grossa, Brazil","institution_ids":["https://openalex.org/I176838256"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074262951","display_name":"Alessandro L. Koerich","orcid":"https://orcid.org/0000-0001-5879-7014"},"institutions":[{"id":"https://openalex.org/I176838256","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1","ror":"https://ror.org/02x1vjk79","country_code":"BR","type":"education","lineage":["https://openalex.org/I176838256"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alessandro L. Koerich","raw_affiliation_strings":["PUCPR, Curitiba, Brazil and UFPR, Curitiba, Brazil"],"affiliations":[{"raw_affiliation_string":"PUCPR, Curitiba, Brazil and UFPR, Curitiba, Brazil","institution_ids":["https://openalex.org/I176838256"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038884704","display_name":"Luiz S. Oliveira","orcid":"https://orcid.org/0000-0002-0595-5370"},"institutions":[{"id":"https://openalex.org/I52418104","display_name":"Universidade Federal do Paran\u00e1","ror":"https://ror.org/05syd6y78","country_code":"BR","type":"education","lineage":["https://openalex.org/I52418104"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Luiz. E. S. Oliveira","raw_affiliation_strings":["UFPR, Curitiba, Brazil","UFPR, Curitiba, Brazil#TAB#"],"affiliations":[{"raw_affiliation_string":"UFPR, Curitiba, Brazil","institution_ids":["https://openalex.org/I52418104"]},{"raw_affiliation_string":"UFPR, Curitiba, Brazil#TAB#","institution_ids":["https://openalex.org/I52418104"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5035860744"],"corresponding_institution_ids":["https://openalex.org/I176838256"],"apc_list":null,"apc_paid":null,"fwci":0.3233,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59962364,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"52","last_page":"56"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/spotting","display_name":"Spotting","score":0.9263973236083984},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8394023180007935},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.7157306671142578},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7074976563453674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.652768611907959},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.512446939945221},{"id":"https://openalex.org/keywords/text-segmentation","display_name":"Text segmentation","score":0.5101883411407471},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5055117607116699},{"id":"https://openalex.org/keywords/document-processing","display_name":"Document processing","score":0.4653063416481018},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46385857462882996},{"id":"https://openalex.org/keywords/optical-character-recognition","display_name":"Optical character recognition","score":0.4589780867099762},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4576645493507385},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4521423280239105},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4505586326122284},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4480656385421753},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.379106730222702},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08638328313827515}],"concepts":[{"id":"https://openalex.org/C2779506182","wikidata":"https://www.wikidata.org/wiki/Q7580141","display_name":"Spotting","level":2,"score":0.9263973236083984},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8394023180007935},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.7157306671142578},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7074976563453674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.652768611907959},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.512446939945221},{"id":"https://openalex.org/C98501671","wikidata":"https://www.wikidata.org/wiki/Q1948408","display_name":"Text segmentation","level":3,"score":0.5101883411407471},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5055117607116699},{"id":"https://openalex.org/C67905146","wikidata":"https://www.wikidata.org/wiki/Q5287646","display_name":"Document processing","level":2,"score":0.4653063416481018},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46385857462882996},{"id":"https://openalex.org/C546480517","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Optical character recognition","level":3,"score":0.4589780867099762},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4576645493507385},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4521423280239105},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4505586326122284},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4480656385421753},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.379106730222702},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08638328313827515},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1774088.1774099","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1774088.1774099","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2010 ACM Symposium on Applied Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.188.2447","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.188.2447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ppgia.pucpr.br/%7Ealekoe/Papers/ALEKOE-SAC2010-Document.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1491852184","https://openalex.org/W2046485094","https://openalex.org/W2078073112","https://openalex.org/W2107950441","https://openalex.org/W2122225583","https://openalex.org/W2133059825","https://openalex.org/W2162838084","https://openalex.org/W4251453299"],"related_works":["https://openalex.org/W2218402054","https://openalex.org/W4383988422","https://openalex.org/W2168844671","https://openalex.org/W4306157992","https://openalex.org/W4385079034","https://openalex.org/W4320027814","https://openalex.org/W2096747878","https://openalex.org/W4319431489","https://openalex.org/W2000372441","https://openalex.org/W4399486188"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"the":[3,27,37,51,98,101,108],"evaluation":[4],"of":[5,50,100],"tree":[6],"feature":[7,22,103],"sets":[8,23,104],"in":[9,36,48,64],"an":[10],"OCR":[11],"free":[12],"word":[13,62,109],"spotting":[14,63],"method":[15,60],"under":[16,26],"a":[17,33,45,57,70],"strong":[18,86],"experimental":[19,29,87],"protocol.":[20],"Different":[21],"are":[24],"evaluated":[25],"same":[28],"conditions.":[30],"In":[31],"addition,":[32],"tuning":[34],"process":[35],"document":[38,71,74,92],"segmentation":[39],"step":[40],"is":[41],"proposed":[42],"which":[43],"provides":[44],"significant":[46],"reduction":[47],"terms":[49],"processing":[52],"time.":[53],"For":[54],"this":[55],"purpose,":[56],"complete":[58],"OCR-free":[59],"for":[61],"printed":[65],"documents":[66],"was":[67,83],"implemented,":[68],"and":[69,76],"database":[72],"containing":[73],"images":[75,93],"their":[77],"corresponding":[78],"ground":[79],"truth":[80],"text":[81],"files":[82],"created.":[84],"A":[85],"protocol":[88],"based":[89],"on":[90],"800":[91],"allows":[94],"us":[95],"to":[96,106],"compare":[97],"results":[99],"three":[102],"used":[105],"represent":[107],"image.":[110]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
