{“id”:“https://openalex.org/W2990571592“,”doi“:”https://doi.org/10.1007/978-3-030-34869-4_55“,”title“:”指纹图像质量评估的局部对比度相位描述符“,”display_name“:”指纹图像质量评估的局部对比度相位描述符“,”publication_year“:2019,”publication_date“:”2019-01-01“,”ids“:{”openalex“:”https://openalex.org/W2990571592“,”doi“:”https://doi.org/10.1007/978-3-030-34869-4_55“,”mag“:”2990571592“},”language“:”en“,”primary_location“:{”is_oa“:false,”landing_page_url“:”https://doi.org/10.1007/978-3-030-34869-4_55“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S106296714“,”“display_name”“:”“计算机科学课堂讲稿”“,”issn_l“:”0302-9743“,”isn“:[”0302-7743“、”1611-3349“],”is_oa“:false,”is_in_doaj“:false,”host_organization“:”https://openalex.org/P4310318900“,”“host_organization_name”:“Springer Science+Business Media”,“host_organization_lineage”:[“https://openalex.org/P431031965","https://openalex.org/P4310318900“],”host_organization_lineage_names“:[”Springer Nature“,”Springer-Science+Business Media“],“type”:“book-series”},“license”:null,“licence_id”:nul,“version”:null,“is_accepted”:false,“is_published”:false},”type“:”book-chapter“,”type_crossref“:“book-chapter”,”indexed_in“:[“crossref”],”open_access“:{”is_oa“:false”“,”oa_url“:空,”any_repository_has_fulltext“:false},”作者身份“:[{”作者位置“:”第一个“,”作者“:{”id“:”https://openalex.org/A5013440537“,”display_name“:”Ram Prakash Sharma“,”orcid“:null},”institutions“:[{”id“:”https://openalex.org/I64295750“,”display_name“:”印度理工学院“,”ror“:”https://ror.org/01hhf7w52“,”country_code“:”IN“,”type“:“教育”,”世系“:[”https://openalex.org/I64295750“]}],”国家“:[”IN“],”is_corresponding“:false,”raw_author_name“:”Ram Prakash Sharma“,”raw _affiliation_strings“:[“印度印多尔印度理工学院”],”affiliations“:[{”raw _affiliation_string“:”印度印多尔印度技术学院”,“institution_ids”:[“https://openalex.org/I64295750“]}]},{”author_position“:”last“,”author“:{”id“:”https://openalex.org/A5062782150“,”display_name“:”Somnath Dey“,”orcid“:”https://orcid.org/0000-0002-5566-1944},“机构”:[{“id”:https://openalex.org/I64295750“,”display_name“:”印度理工学院“,”ror“:”网址:https://ror.org/01hhf7w52“,”country_code“:”IN“,”type“:“教育”,”世系“:[”https://openalex.org/I64295750“]}],”国家“:[”IN“],”is_corresponding“:false,”raw_author_name“:”Somnath Dey“,”raw _ afiliation_strings“:[“印度印多尔印度理工学院”],”affiliations“:[{”raw _affiliation_string“:”印度印多雷印度理工大学”,“institution_ids”:[“https://openalex.org/I64295750“]}]}],”countries_distinact_count“:1,”institutions_disticant_count”:1,“corresponding_author_ids”:[],”correspounding_institution_ids“:[]、”apc_list“:{”value“:5000,”currency“:”EUR“,”value_usd“:5392,”provenance“:”doaj“},”apc_payed“:null,”has_fulltext“:false,”cited_by_count:1,:66,“max”:74},“biblio”:{“volume”:null,“问题“:null,”first_page“:”507“,”last_page“:”514“},”is_retracted“:false,”is_paratext“:fase,”primary_topic“:{”id“:”https://openalex.org/T10828“,”display_name“:”生物识别和安全系统“,”score“:0.9999,”subfield“:{”id“:”https://openalex.org/subfields/1711“,”display_name“:”信号处理“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},”主题“:[{”id“:”https://openalex.org/T10828“,”display_name“:”生物识别和安全系统“,”score“:0.9999,”subfield“:{”id“:”https://openalex.org/subfields/1711“,”display_name“:”信号处理“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T10057“,”“display_name”:“人脸识别和降维技术”,“score”:0.9803,“subfield”:{“id”:“https://openalex.org/subfields/1707“,”display_name“:”计算机视觉和模式识别“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T13568“,”“display_name”:“沉香的化学成分和生产”,“score”:0.9582,“subfield”:{“id”:“https://openalex.org/subfields/1605“,”display_name“:”有机化学“},”字段“:{”id“:”https://openalex.org/fields/16“,”display_name“:”Chemistry“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}}],”关键词“:[{”id“:”https://openalex.org/keywords/face-spoof-detection网站“,”“display_name”“:”人脸假脱机检测“,”分数“:0.527608},{”id“:”https://openalex.org/keywords/feature-selection网站“,”display_name“:”功能选择“,”score“:0.512153},{”id“:”https://openalex.org/keywords/feature-extraction网站“,”display_name“:”特征提取“,”score“:0.510528},{”id“:”https://openalex.org/keywords/iris识别“,”display_name“:”虹膜识别“,”score“:0.509013},{”id“:”https://openalex.org/keywords/support-vector-machines网站“,”display_name“:”Support Vector Machines“,”score“:0.507637}],”concepts“:[{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198(网址:https://www.wikidata.org/wiki/Q21198)“,”display_name“:”计算机科学“,”level“:0,”score“:0.81997347},{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.8091447},{”id“:”https://openalex.org/C2777826928,“wikidata”:https://www.wikidata.org/wiki/Q3745713“,”display_name“:”指纹(计算)“,”level“:2,”score“:0.70515805},{”id“:”https://openalex.org/C12267149,“wikidata”:https://www.wikidata.org/wiki/Q282453“,”display_name“:”支持向量机“,”level“:2,”score“:0.66053617},{”id“:”https://openalex.org/C153180895,“wikidata”:https://www.wikidata.org/wiki/Q7148389“,”display_name“:”模式识别(心理学)“,”level“:2,”score“:0.654363},{”id“:”https://openalex.org/C95623464,“wikidata”:https://www.wikidata.org/wiki/Q1096149“,”display_name“:”分类器(UML)“,”level“:2,”score“:0.57422477},{”id“:”https://openalex.org/C31972630,“wikidata”:https://www.wikidata.org/wiki/Q844240“,”display_name“:”计算机视觉“,”level“:1,”score“:0.56786126},{”id“:”https://openalex.org/C2776502983,“wikidata”:https://www.wikidata.org/wiki/Q690182“,”display_name“:”对比度(视觉)“,”级别“:2,”分数“:0.46597502},{”id“:”https://openalex.org/C168406668,“wikidata”:https://www.wikidata.org/wiki/Q178022“,”display_name“:”指纹识别“,”level“:3,”score“:0.46562976},{”id“:”https://openalex.org/C55020928,“wikidata”:https://www.wikidata.org/wiki/Q3813865“,”display_name“:”图像质量“,”level“:3,”score“:0.4485742},{”id“:”https://openalex.org/C115961682,“wikidata”:https://www.wikidata.org/wiki/Q860623“,”display_name“:”Image(mathematics)“,”level“:2,”score“:0.212805}],”mesh“:[],”locations_count“:1,”location“:[{”is_oa“:false,”landing_page_url“:”https://doi.org/10.1007/978-3-030-34869-4_55“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S106296714“,”“display_name”“:”“计算机科学课堂讲稿”“,”issn_l“:”0302-9743“,”isn“:[”0302-7743“、”1611-3349“],”is_oa“:false,”is_in_doaj“:false,”host_organization“:”https://openalex.org/P4310318900“,”“host_organization_name”:“Springer Science+Business Media”,“host_organization_lineage”:[“https://openalex.org/P431031965","https://openalex.org/P4310318900“],”host_organization_lineage_names“:[”Springer Nature“,”Springer-Science+Business Media“],“type”:“book series”},“license”:null,“licence_id”:null,“version”:null,“is_accepted”:false,“is_published”:false}],“best_oa_location”:nul,“sustainable_development_goals”:[],“grants”:[],“dataset”:[]],“versions”:[】,“referenced_works_count”:16,“referenced_works“:[”https://openalex.org/W1563923217","https://openalex.org/W1569096659","https://openalex.org/W2015681865","https://openalex.org/W2020115273","https://openalex.org/W2072700042","https://openalex.org/W2092382984","https://openalex.org/W2103514961","https://openalex.org/W2124005670","https://openalex.org/W2126680738","https://openalex.org/W2129631732","https://openalex.org/W2153635508","https://openalex.org/W2338576408","https://openalex.org/W2768388233","https://openalex.org/W2769542813","https://openalex.org/W2890227554","https://openalex.org/W2963956348“],”related_works“:[”https://openalex.org/W4389371618","https://openalex.org/W4362496757","https://openalex.org/W3014822659","https://openalex.org/W289790619","https://openalex.org/W2608025327网址","https://openalex.org/W2566091814","https://openalex.org/W2148654711","https://openalex.org/W2117826006","https://openalex.org/W2114937328","https://openalex.org/W1621827506“],”ngrams_url“:”https://api.openalex.org/works/W2990571592/ngrams“,”abstract_inverted_index“:{”指纹“:[0,15],”图像“:[1,23],”质量“:[2,24,46,96],”is“:[3,25,40],”one“:[4],”of“:[5,13,21,47,98109],”the“:[6,10,30,44,86,92107],”main“:[7],”factors“:[8],”影响“:[9],”识别“:[11111],”性能“:[12108],”Automatic“:[14],”Identification“:[16],“系统”:[17],“(AFIS)。”:[18],“因此,”:[19,90],“分析”:[20],“指纹”:[22,48,67,99110],“an”:[26],“重要”:[27],“任务”:[28],“期间”:[29101],“获取。“:[31],“In”:[32],“this”:[33],“work”,:[34],“local”:[35],“contrast”:[36],“phase”:[37],“descriptor”:[38],“(LCPD)”:[39],“used”:[41],“to”:[42,60],“analyze”:[43],“texture”:[45,68],“images”。“:[49],”空间“:[50],”和“:[51,73],”变换“:[52],”域“:[53],”特征“:[54],”计算“:[55],”使用“:[56],”LCPD“:[57],”是“:[58],”fed“:[59],”支持“:[61],”向量“:[62],”机器“:[63],”(SVM)“:[64],”分类器“:[65],”for“:[66,95],”分类“:[69],”“in”:[70105],“wet”:[71],“dry”:[72],“good”:[74],“class”。“:[75],“实验”:[76],“评估”:[77],“执行”:[78],“on”:[79],“低质量”:[80],“FVC”:[81],“2004”:[82],“DB1”:[83],“数据集”:[84],“表现优异”:[85],“当前”:[87],“最先进”:[88],“方法”。“:[89],”利用“:[91],”建议“:[93],”方法“:[94],”控制“:[97],”图像“:[100],”获取“:[102],”can“:[103],”帮助“:[104],”改进“:[106],”系统。“:[112]},”cited_by_api_url“:”https://api.openalex.org/works?filter=cites:W2990571592“,”counts_by_year“:[{”年“:2020,”cited_by_count“:1}],”更新日期“:”2024-06-17T06:38:10.252512“,”创建日期“:“2019-12-05”}