{"id":"https://openalex.org/W3217111727","doi":"https://doi.org/10.1109/access.2021.3130594","title":"Reliable Go Game Images Recognition Under Strong Light Attack","display_name":"Reliable Go Game Images Recognition Under Strong Light Attack","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3217111727","doi":"https://doi.org/10.1109/access.2021.3130594","mag":"3217111727"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3130594","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3130594","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09627117.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09627117.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014509786","display_name":"Yiyao Zhuo","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yiyao Zhuo","raw_affiliation_strings":["Electrical Engineering Department, Nanjing University, Nanjing, Jiangsu, 210046, China"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Nanjing University, Nanjing, Jiangsu, 210046, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032465074","display_name":"Han Fang","orcid":"https://orcid.org/0000-0001-9635-9859"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han Fang","raw_affiliation_strings":["Electrical Engineering Department, Nanjing University, Nanjing, Jiangsu, 210046, China"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Nanjing University, Nanjing, Jiangsu, 210046, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101490124","display_name":"Kai Zhu","orcid":"https://orcid.org/0000-0002-2583-2669"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kai Zhu","raw_affiliation_strings":["Electrical Engineering Department, Jinling College of Nanjing University, Nanjing, Jiangsu, 210089, China"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Jinling College of Nanjing University, Nanjing, Jiangsu, 210089, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084610180","display_name":"Hongchen Zhan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hongchen Zhan","raw_affiliation_strings":["Electrical Engineering Department, Jinling College of Nanjing University, Nanjing, Jiangsu, 210089, China"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Jinling College of Nanjing University, Nanjing, Jiangsu, 210089, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100732968","display_name":"Jie Yuan","orcid":"https://orcid.org/0000-0003-0597-7657"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Yuan","raw_affiliation_strings":["Electrical Engineering Department, Nanjing University, Nanjing, Jiangsu, 210046, China and Electrical Engineering Department, Jinling College of Nanjing University, Nanjing, Jiangsu, 210089, China. (e-mail: yuanjie@nju.edu.cn)"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Nanjing University, Nanjing, Jiangsu, 210046, China and Electrical Engineering Department, Jinling College of Nanjing University, Nanjing, Jiangsu, 210089, China. (e-mail: yuanjie@nju.edu.cn)","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5014509786"],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.5439,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73588184,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"9","issue":null,"first_page":"160064","last_page":"160071"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991999864578247,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9980999827384949,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9939000010490417,"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":0.8074578046798706},{"id":"https://openalex.org/keywords/crowds","display_name":"Crowds","score":0.7275210022926331},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7237024307250977},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7185893654823303},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5487575531005859},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5074264407157898},{"id":"https://openalex.org/keywords/reflection","display_name":"Reflection (computer programming)","score":0.4983367919921875},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4541773200035095},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.43932071328163147},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4328917860984802},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.12321048974990845}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8074578046798706},{"id":"https://openalex.org/C2777852691","wikidata":"https://www.wikidata.org/wiki/Q13430821","display_name":"Crowds","level":2,"score":0.7275210022926331},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7237024307250977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7185893654823303},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5487575531005859},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5074264407157898},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.4983367919921875},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4541773200035095},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.43932071328163147},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4328917860984802},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.12321048974990845},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3130594","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3130594","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09627117.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:adaf9851d7d843eab0ca2064818aceda","is_oa":true,"landing_page_url":"https://doaj.org/article/adaf9851d7d843eab0ca2064818aceda","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 160064-160071 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3130594","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3130594","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09627117.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G663233724","display_name":null,"funder_award_id":"BK20181256","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3217111727.pdf","grobid_xml":"https://content.openalex.org/works/W3217111727.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1984419338","https://openalex.org/W2096308681","https://openalex.org/W2111308925","https://openalex.org/W2145023731","https://openalex.org/W2165891993","https://openalex.org/W2194775991","https://openalex.org/W2594258618","https://openalex.org/W2801019904","https://openalex.org/W2914003876","https://openalex.org/W2963037989","https://openalex.org/W2988916019","https://openalex.org/W2992972834","https://openalex.org/W3009457572","https://openalex.org/W3013211676","https://openalex.org/W3038704781","https://openalex.org/W3049128285","https://openalex.org/W3088772145","https://openalex.org/W3113366057","https://openalex.org/W3117005150","https://openalex.org/W3159241280","https://openalex.org/W3172987265","https://openalex.org/W6734935105","https://openalex.org/W6787174762"],"related_works":["https://openalex.org/W4240200267","https://openalex.org/W1511510665","https://openalex.org/W1524661185","https://openalex.org/W2078823605","https://openalex.org/W2500095415","https://openalex.org/W4233026749","https://openalex.org/W2282342021","https://openalex.org/W2097922264","https://openalex.org/W4248106174","https://openalex.org/W627242580"],"abstract_inverted_index":{"Go":[0,40,61,132],"is":[1,10,35,66,116,120],"a":[2,59,90,157],"popular":[3],"global":[4],"game":[5,41,62,133],"whose":[6],"win":[7],"or":[8,22,50],"loss":[9],"only":[11,70],"determined":[12],"by":[13,20],"the":[14,27,30,38,95,109,125,128,143,165],"number":[15],"of":[16,127,145,167],"intersection":[17],"points":[18],"surrounded":[19],"black":[21],"white":[23],"pieces.":[24],"Among":[25],"all":[26],"counting":[28,33],"methods,":[29],"traditional":[31],"manual":[32],"method":[34,65,92,115],"time-consuming.":[36],"Additionally,":[37],"current":[39],"images":[42,63,106,134],"recognition":[43,64,144],"technology":[44],"cannot":[45],"endure":[46,79],"light":[47,73],"reflection":[48,74],"attacks":[49,75],"extreme":[51],"image":[52,81],"capture":[53,82],"angles":[54],"effectively.":[55],"In":[56],"this":[57,86],"paper,":[58],"reliable":[60],"proposed":[67,114],"which":[68,119],"not":[69],"can":[71,78],"resist":[72],"but":[76],"also":[77],"various":[80],"angles.":[83],"To":[84],"obtain":[85],"goal,":[87],"we":[88],"propose":[89],"detection":[91,166],"based":[93],"on":[94,103,131],"optimized":[96],"CNNs":[97],"(Convolutional":[98],"Neural":[99],"Network)":[100],"framework.":[101],"Experiments":[102],"recognizing":[104],"3220":[105],"show":[107],"that":[108,151],"average":[110],"accuracy":[111,126],"with":[112],"our":[113,137],"over":[117],"99.99%,":[118],"22":[121],"times":[122],"better":[123],"than":[124],"state-of-the-art":[129],"approach":[130],"recognition.":[135],"Besides,":[136],"study":[138],"provides":[139,156],"potential":[140],"references":[141],"for":[142],"interfered":[146],"small":[147],"objects":[148],"in":[149,159],"groups":[150],"have":[152],"few":[153],"features.":[154],"It":[155],"reference":[158],"similar":[160],"application":[161],"scenarios":[162],"such":[163],"as":[164],"animal":[168],"crowds,":[169],"industrial":[170],"parts,":[171],"physiological":[172],"tissues,":[173],"and":[174],"micro-particles.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}