{"id":"https://openalex.org/W3118371224","doi":"https://doi.org/10.1007/s11063-020-10407-4","title":"Region Centric Minutiae Propagation Measure Orient Forgery Detection with Finger Print Analysis in Health Care Systems","display_name":"Region Centric Minutiae Propagation Measure Orient Forgery Detection with Finger Print Analysis in Health Care Systems","publication_year":2021,"publication_date":"2021-01-05","ids":{"openalex":"https://openalex.org/W3118371224","doi":"https://doi.org/10.1007/s11063-020-10407-4","mag":"3118371224"},"language":"en","primary_location":{"id":"doi:10.1007/s11063-020-10407-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-020-10407-4","pdf_url":null,"source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/s11063-020-10407-4","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054949766","display_name":"M. Baskar","orcid":"https://orcid.org/0000-0003-4655-7667"},"institutions":[{"id":"https://openalex.org/I145286018","display_name":"SRM Institute of Science and Technology","ror":"https://ror.org/050113w36","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"M. Baskar","raw_affiliation_strings":["Department of Computer Science and Engineering, School of Computing, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Kanchipuram, Tamilnadu, 603 203, India"],"raw_orcid":"https://orcid.org/0000-0003-4655-7667","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, School of Computing, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Kanchipuram, Tamilnadu, 603 203, India","institution_ids":["https://openalex.org/I145286018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103946079","display_name":"R. Renuka Devi","orcid":null},"institutions":[{"id":"https://openalex.org/I145286018","display_name":"SRM Institute of Science and Technology","ror":"https://ror.org/050113w36","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. Renuka Devi","raw_affiliation_strings":["Department of Software Engineering, School of Computing, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Kanchipuram, Tamilnadu, 603 203, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Software Engineering, School of Computing, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Kanchipuram, Tamilnadu, 603 203, India","institution_ids":["https://openalex.org/I145286018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111653078","display_name":"J. Ramkumar","orcid":null},"institutions":[{"id":"https://openalex.org/I145286018","display_name":"SRM Institute of Science and Technology","ror":"https://ror.org/050113w36","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"J. Ramkumar","raw_affiliation_strings":["Department of Computer Science and Engineering, School of Computing, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Kanchipuram, Tamilnadu, 603 203, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, School of Computing, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Kanchipuram, Tamilnadu, 603 203, India","institution_ids":["https://openalex.org/I145286018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110438323","display_name":"P. Kalyanasundaram","orcid":null},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. Kalyanasundaram","raw_affiliation_strings":["Department of Wireless Sensor Networks, Institute of ECE, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamilnadu, 602 105, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Wireless Sensor Networks, Institute of ECE, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamilnadu, 602 105, India","institution_ids":["https://openalex.org/I85461943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036299182","display_name":"M. Suchithra","orcid":null},"institutions":[{"id":"https://openalex.org/I145286018","display_name":"SRM Institute of Science and Technology","ror":"https://ror.org/050113w36","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M. Suchithra","raw_affiliation_strings":["Department of Computer Science and Engineering, School of Computing, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Kanchipuram, Tamilnadu, 603 203, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, School of Computing, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Kanchipuram, Tamilnadu, 603 203, India","institution_ids":["https://openalex.org/I145286018"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024450084","display_name":"B. Amutha","orcid":null},"institutions":[{"id":"https://openalex.org/I145286018","display_name":"SRM Institute of Science and Technology","ror":"https://ror.org/050113w36","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"B. Amutha","raw_affiliation_strings":["Department of Computer Science and Engineering, School of Computing, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Kanchipuram, Tamilnadu, 603 203, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, School of Computing, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Kanchipuram, Tamilnadu, 603 203, India","institution_ids":["https://openalex.org/I145286018"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054949766"],"corresponding_institution_ids":["https://openalex.org/I145286018"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":8.1028,"has_fulltext":false,"cited_by_count":65,"citation_normalized_percentile":{"value":0.98311688,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"55","issue":"1","first_page":"19","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10828","display_name":"Biometric Identification and Security","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9322999715805054,"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/T13192","display_name":"Forensic Fingerprint Detection Methods","score":0.9122999906539917,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/minutiae","display_name":"Minutiae","score":0.6911766529083252},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6866292953491211},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.667683482170105},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.600954532623291},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6000528335571289},{"id":"https://openalex.org/keywords/gabor-filter","display_name":"Gabor filter","score":0.5588299632072449},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.529560387134552},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5081100463867188},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5078213810920715},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.4937063157558441},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.47403621673583984},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.34308677911758423},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.19172567129135132},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.16465938091278076}],"concepts":[{"id":"https://openalex.org/C67174900","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Minutiae","level":4,"score":0.6911766529083252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6866292953491211},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.667683482170105},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.600954532623291},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6000528335571289},{"id":"https://openalex.org/C2779883129","wikidata":"https://www.wikidata.org/wiki/Q2447890","display_name":"Gabor filter","level":3,"score":0.5588299632072449},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.529560387134552},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5081100463867188},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5078213810920715},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.4937063157558441},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.47403621673583984},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.34308677911758423},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.19172567129135132},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.16465938091278076},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11063-020-10407-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-020-10407-4","pdf_url":null,"source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11063-020-10407-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11063-020-10407-4","pdf_url":null,"source":{"id":"https://openalex.org/S140962798","display_name":"Neural Processing Letters","issn_l":"1370-4621","issn":["1370-4621","1573-773X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Processing Letters","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.4099999964237213,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1824983686","https://openalex.org/W1986702455","https://openalex.org/W2000889716","https://openalex.org/W2002813816","https://openalex.org/W2184569706","https://openalex.org/W2185987550","https://openalex.org/W2474846563","https://openalex.org/W2550299492","https://openalex.org/W2553683761","https://openalex.org/W2599688098","https://openalex.org/W2750052003","https://openalex.org/W2762384128","https://openalex.org/W2762495033","https://openalex.org/W2764171963","https://openalex.org/W2932964381","https://openalex.org/W2956251445","https://openalex.org/W3024479384","https://openalex.org/W3034695706","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2565799042","https://openalex.org/W2128907997","https://openalex.org/W1981872252","https://openalex.org/W1540357037","https://openalex.org/W2363916701","https://openalex.org/W3037288134","https://openalex.org/W3203463822","https://openalex.org/W2620640366","https://openalex.org/W2356765126","https://openalex.org/W2375028044"],"abstract_inverted_index":{"The":[0,77,96,106,181,272,291,301,376,467,486,496,571,662,681,691,766],"problem":[1,196,391,586],"of":[2,44,103,117,124,160,183,197,239,298,312,319,355,378,392,434,493,507,514,550,573,587,629,688,702,709,745,768],"forgery":[3,198,393,588],"detection":[4,186,199,381,394,576,589,771],"has":[5,80,164,170,178,187,200,275,359,365,373,382,395,470,554,560,568,577,590,665,749,755,763,772],"been":[6,81,165,171,179,188,201,276,360,366,374,383,396,471,555,561,569,578,591,666,750,756,764,773],"well":[7,202,397,592],"studied":[8,203,398,593],"and":[9,65,146,167,190,204,260,341,362,385,399,455,536,557,580,594,650,731,752,775],"the":[10,19,59,67,72,90,113,122,127,131,150,155,158,168,175,192,205,214,254,262,267,285,308,317,322,326,345,350,353,363,370,387,400,409,449,457,462,480,503,512,517,521,540,545,548,558,565,582,595,604,644,652,657,675,698,707,712,716,735,740,743,753,760,777],"forged":[11,32,161,184,206,227,356,379,401,422,551,574,596,617,746,769],"finger":[12,33,60,93,162,207,228,255,288,357,402,423,450,483,552,597,618,645,678,747],"prints":[13,208,403,598],"produces":[14,209,404,599],"highly":[15,210,405,600],"impacting":[16,211,406,601],"results":[17,212,407,602],"in":[18,42,83,213,237,278,408,432,473,603,627,668],"biometric":[20,215,410,605],"based":[21,56,216,251,411,446,606,641],"security":[22,217,412,607],"systems.":[23,218,413,608],"There":[24,219,414,609],"are":[25,109,137,141,220,304,332,336,415,499,527,531,610,694,722,726],"many":[26,221,416,611],"algorithms":[27,222,417,612],"discussed":[28,223,418,613],"earlier":[29,224,419,614],"to":[30,38,88,121,148,173,225,233,283,316,343,368,420,428,478,511,538,563,615,623,673,706,733,758],"detect":[31,226,421,616],"prints.":[34,229,424,619],"However,":[35,230,425,620],"they":[36,231,426,621],"suffer":[37,232,427,622],"achieve":[39,234,429,624],"higher":[40,235,430,625],"performance":[41,236,431,626],"terms":[43,238,433,628],"security.":[45,240,435,630],"In":[46,241,436,631],"this":[47,242,437,632],"paper,":[48,243,438,633],"a":[49,244,439,634],"region":[50,176,245,371,440,566,635,761],"centric":[51,246,441,636],"minutiae":[52,247,442,637],"propagation":[53,248,443,638],"measure":[54,249,444,639],"(RCMPM)":[55,250,445,640],"approach.":[57,252,447,642],"First,":[58,253,448,643],"print":[61,94,163,185,256,289,358,380,451,484,553,575,646,679,748,770],"image":[62,98,114,129,257,293,309,324,452,488,504,519,647,683,699,714],"is":[63,99,258,294,453,489,648,684],"read":[64,259,454,649],"removes":[66,261,456,651],"noisy":[68,263,458,653],"points":[69,264,459,654],"by":[70,111,265,306,460,501,655,696],"applying":[71,266,461,656],"multi":[73,268,463,658],"level":[74,85,269,280,464,475,659,670],"Gabor":[75,78,270,273,465,468,660,663],"filters.":[76,271,466,661],"filter":[79,274,469,664],"applied":[82,277,472,667],"multiple":[84,279,474,669],"which":[86,177,281,372,476,567,671,762],"helps":[87,282,477,672],"remove":[89,284,479,674],"noise":[91,286,481,676],"from":[92,287,482,677],"image.":[95,105,290,300,485,495,680,690],"enhanced":[97,292,487,682],"converted":[100,295,490,685],"into":[101,115,296,310,491,505,686,700],"number":[102,116,297,311,492,506,687,701],"integral":[104,107,128,299,302,323,494,497,518,689,692,713],"images":[108,119,303,314,498,509,693,704],"generated":[110,305,500,695],"splitting":[112,307,502,697],"tiny":[118,313,508,703],"according":[120,315,510,705],"size":[123,318,513,708],"window.":[125,320,515,710],"From":[126,321,516,711],"produced,":[130,325,520,715],"island,":[132,327,522,717],"dot,":[133,328,523,718],"enclosure,":[134,329,524,719],"bifurcation":[135,330,525,720],"features":[136,140,331,335,526,530,721,725],"extracted.":[138,333,528,723],"Extracted":[139,334,529,724],"framed":[142,337,532,727],"as":[143,338,533,728],"feature":[144,339,534,729],"vector":[145,340,535,730],"used":[147,172,342,367,537,562,732,757],"estimate":[149,344,539,734],"RCMPM":[151,156,346,351,541,546,736,741],"measure.":[152,347,542,737],"Based":[153,348,543,738],"on":[154,349,544,739],"measure,":[157,352,547,742],"presence":[159,354,549,744],"identified":[166,361,556,751],"same":[169,364,559,754],"identify":[174,369,564,759],"modified.":[180,375,570,765],"accuracy":[182,377,572,767],"improved":[189,384,579,774],"reduces":[191,386,581,776],"false":[193,388,583,778],"classification":[194,389,584,779],"ratio.11111111111111111111The":[195],"ratio.The":[390,585],"ratio.":[780]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":12}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
