{"id":"https://openalex.org/W4256292521","doi":"https://doi.org/10.1109/asonam.2016.7752396","title":"Automatic tattoo image registration system","display_name":"Automatic tattoo image registration system","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W4256292521","doi":"https://doi.org/10.1109/asonam.2016.7752396"},"language":"en","primary_location":{"id":"doi:10.1109/asonam.2016.7752396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2016.7752396","pdf_url":null,"source":{"id":"https://openalex.org/S4363608003","display_name":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","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":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100354928","display_name":"Xuan Xu","orcid":"https://orcid.org/0009-0002-8932-621X"},"institutions":[{"id":"https://openalex.org/I12097938","display_name":"West Virginia University","ror":"https://ror.org/011vxgd24","country_code":"US","type":"education","lineage":["https://openalex.org/I12097938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xuan Xu","raw_affiliation_strings":["Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, West Virginia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, West Virginia","institution_ids":["https://openalex.org/I12097938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006998927","display_name":"Michael C. Martin","orcid":"https://orcid.org/0000-0002-6611-070X"},"institutions":[{"id":"https://openalex.org/I12097938","display_name":"West Virginia University","ror":"https://ror.org/011vxgd24","country_code":"US","type":"education","lineage":["https://openalex.org/I12097938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Martin","raw_affiliation_strings":["Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, West Virginia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, West Virginia","institution_ids":["https://openalex.org/I12097938"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056462004","display_name":"Thirimachos Bourlai","orcid":"https://orcid.org/0000-0001-8751-0836"},"institutions":[{"id":"https://openalex.org/I12097938","display_name":"West Virginia University","ror":"https://ror.org/011vxgd24","country_code":"US","type":"education","lineage":["https://openalex.org/I12097938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thirimachos Bourlai","raw_affiliation_strings":["Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, West Virginia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, West Virginia","institution_ids":["https://openalex.org/I12097938"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I12097938"],"apc_list":null,"apc_paid":null,"fwci":0.2013,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60831315,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"1238","last_page":"1243"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9884999990463257,"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/T11448","display_name":"Face recognition and analysis","score":0.9884999990463257,"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/T12901","display_name":"Tattoo and Body Piercing Complications","score":0.9822999835014343,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9657999873161316,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8049588203430176},{"id":"https://openalex.org/keywords/ransac","display_name":"RANSAC","score":0.790921688079834},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7654224634170532},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6945536136627197},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.6555395126342773},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.642235279083252},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.5952432751655579},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5671992897987366},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5403770208358765},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.464773952960968},{"id":"https://openalex.org/keywords/homography","display_name":"Homography","score":0.4603521525859833},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.41266050934791565},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40930473804473877},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.40210962295532227},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2977965176105499},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09649977087974548}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8049588203430176},{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.790921688079834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7654224634170532},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6945536136627197},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.6555395126342773},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.642235279083252},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.5952432751655579},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5671992897987366},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5403770208358765},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.464773952960968},{"id":"https://openalex.org/C28751775","wikidata":"https://www.wikidata.org/wiki/Q2112539","display_name":"Homography","level":4,"score":0.4603521525859833},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.41266050934791565},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40930473804473877},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.40210962295532227},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2977965176105499},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09649977087974548},{"id":"https://openalex.org/C177846678","wikidata":"https://www.wikidata.org/wiki/Q1501864","display_name":"Projective test","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C75280867","wikidata":"https://www.wikidata.org/wiki/Q877775","display_name":"Projective space","level":3,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asonam.2016.7752396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2016.7752396","pdf_url":null,"source":{"id":"https://openalex.org/S4363608003","display_name":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","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":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W849061512","https://openalex.org/W1493915050","https://openalex.org/W1513886033","https://openalex.org/W1993747918","https://openalex.org/W1997892074","https://openalex.org/W1999320613","https://openalex.org/W2000850369","https://openalex.org/W2001412060","https://openalex.org/W2022846885","https://openalex.org/W2058409096","https://openalex.org/W2064012549","https://openalex.org/W2097415789","https://openalex.org/W2099017151","https://openalex.org/W2114942327","https://openalex.org/W2122684197","https://openalex.org/W2130352044","https://openalex.org/W2132508147","https://openalex.org/W2141983208","https://openalex.org/W2147555557","https://openalex.org/W2151103935","https://openalex.org/W2159269332","https://openalex.org/W2163808566","https://openalex.org/W2293914784","https://openalex.org/W2338154206","https://openalex.org/W2519626881","https://openalex.org/W2519938563","https://openalex.org/W6623411821","https://openalex.org/W6656223545","https://openalex.org/W6997266731"],"related_works":["https://openalex.org/W2912782527","https://openalex.org/W2002904063","https://openalex.org/W2559085038","https://openalex.org/W2184781617","https://openalex.org/W2724122122","https://openalex.org/W2410884360","https://openalex.org/W2032794652","https://openalex.org/W2613823046","https://openalex.org/W4251240031","https://openalex.org/W2182681094"],"abstract_inverted_index":{"Surveillance":[0],"systems":[1,91],"are":[2,52,162],"very":[3,24],"important":[4],"for":[5],"law":[6],"enforcement":[7],"and":[8,18,57,123,130,144,165,201,265],"military":[9],"applications.":[10],"Capturing":[11],"a":[12,16,23,54,75,81,103,118,135,145],"biometric":[13,56],"modality":[14],"at":[15],"distance":[17],"under":[19,198,218],"difficult":[20],"conditions":[21],"is":[22,92,170,190,205,216],"challenging":[25],"process.":[26],"While":[27],"face":[28],"or":[29,77],"gait":[30],"can":[31,42,67,108],"be":[32,62,68],"used":[33,69],"to":[34,70,78,102,172,261,277],"identify":[35],"an":[36,156],"individual":[37],"in":[38,45,58,88,231],"such":[39],"application,":[40],"tattoos":[41],"also":[43],"help":[44],"the":[46,63,72,85,96,131,191,202,206,235,250,254,266,270],"identification":[47],"process":[48,159,240],"whenever":[49],"available.":[50],"Tattoos":[51],"considered":[53],"soft":[55],"some":[59],"scenarios":[60],"may":[61],"only":[64],"clue":[65],"that":[66],"verify":[71],"identity":[73],"of":[74,84,98,237],"suspect":[76],"rule":[79],"out":[80],"suspect.":[82],"One":[83],"major":[86],"challenges":[87],"tattoo":[89,100,121,184,209,242],"recognition":[90,111,243],"image":[93,101,140,185],"registration,":[94],"i.e.":[95],"alignment":[97],"one":[99,189,204],"reference":[104],"image.":[105],"Accurate":[106],"registration":[107,122,153,175,180,229,239],"greatly":[109],"improve":[110],"accuracy.":[112],"In":[113],"this":[114],"paper,":[115],"we":[116,149,226],"propose":[117],"two-level":[119],"automatic":[120],"correction":[124,158],"system":[125,169,181],"based":[126],"on":[127,241],"SIFT":[128],"descriptors":[129],"RANSAC":[132],"algorithm":[133],"with":[134,194,212],"homography":[136],"model.":[137],"By":[138],"using":[139,182,248],"quality":[141],"index":[142],"techniques":[143],"postprocessing":[146],"step":[147],"(where":[148],"refine":[150],"our":[151,168,179,238],"original":[152],"results":[154,222],"by":[155],"automated":[157],"where":[160,253,269],"outliers":[161],"first":[163,188],"identified":[164],"then":[166],"re-processed),":[167],"able":[171],"demonstrate":[173],"accurate":[174],"results.":[176],"We":[177],"tested":[178],"two":[183],"databases.":[186,233],"The":[187],"NIST-Tatt-C":[192,251],"database":[193,210,252,268],"109":[195],"subjects":[196],"collected":[197,217],"uncontrolled":[199],"condition,":[200],"second":[203],"new":[207],"WVU":[208],"(WVU-Tatt)":[211],"79":[213],"subjects,":[214],"which":[215],"controlled":[219],"conditions.":[220],"Experimental":[221],"show":[223],"that,":[224],"first,":[225],"obtained":[227],"100%":[228,262],"accuracy":[230,255,271],"both":[232,249],"Then,":[234],"effect":[236],"performance":[244],"was":[245],"assessed":[246],"when":[247],"improved":[256,272],"from":[257,273],"54.13%":[258],"(no":[259,275],"registration)":[260,264,276],"(with":[263,279],"WVU-Tatt":[267],"86.08%":[274],"98.73%":[278],"registration).":[280]},"counts_by_year":[{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}