{"id":"https://openalex.org/W2164589073","doi":"https://doi.org/10.1109/aiccsa.2008.4493597","title":"Core point detection using improved segmentation and orientation","display_name":"Core point detection using improved segmentation and orientation","publication_year":2008,"publication_date":"2008-03-01","ids":{"openalex":"https://openalex.org/W2164589073","doi":"https://doi.org/10.1109/aiccsa.2008.4493597","mag":"2164589073"},"language":"en","primary_location":{"id":"doi:10.1109/aiccsa.2008.4493597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa.2008.4493597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE/ACS International Conference on Computer Systems and Applications","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/A5103490341","display_name":"M. Usman Akram","orcid":null},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"M. Usman Akram","raw_affiliation_strings":["Department of Computer Engineering, EME College, NUST, Rawalpindi, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, EME College, NUST, Rawalpindi, Pakistan","institution_ids":["https://openalex.org/I929597975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112835041","display_name":"Anam Tariq","orcid":null},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Anam Tariq","raw_affiliation_strings":["Department of Computer Engineering, EME College, NUST, Rawalpindi, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, EME College, NUST, Rawalpindi, Pakistan","institution_ids":["https://openalex.org/I929597975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081961779","display_name":"Sarwat Nasir","orcid":null},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Sarwat Nasir","raw_affiliation_strings":["Department of Telecommunication, MCS, NUST, Rawalpindi, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Telecommunication, MCS, NUST, Rawalpindi, Pakistan","institution_ids":["https://openalex.org/I929597975"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111972819","display_name":"Assia Khanam","orcid":null},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Assia Khanam","raw_affiliation_strings":["Department of Computer Engineering, EME College, NUST, Rawalpindi, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, EME College, NUST, Rawalpindi, Pakistan","institution_ids":["https://openalex.org/I929597975"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103490341"],"corresponding_institution_ids":["https://openalex.org/I929597975"],"apc_list":null,"apc_paid":null,"fwci":2.6128,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.90615855,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"637","last_page":"644"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":1.0,"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":1.0,"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/T11800","display_name":"User Authentication and Security Systems","score":0.9697999954223633,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13568","display_name":"Wood and Agarwood Research","score":0.9652000069618225,"subfield":{"id":"https://openalex.org/subfields/1605","display_name":"Organic Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.7767812013626099},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.766476035118103},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.7239188551902771},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7047337293624878},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6619275808334351},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.6412038803100586},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6284909248352051},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.5591153502464294},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5553245544433594},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.522901713848114},{"id":"https://openalex.org/keywords/singular-point-of-a-curve","display_name":"Singular point of a curve","score":0.5040985345840454},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49101901054382324},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.47483760118484497},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.4738978445529938},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4466811418533325},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4365995228290558},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.42536303400993347},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17938607931137085}],"concepts":[{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.7767812013626099},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.766476035118103},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.7239188551902771},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7047337293624878},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6619275808334351},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.6412038803100586},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6284909248352051},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.5591153502464294},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5553245544433594},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.522901713848114},{"id":"https://openalex.org/C200917960","wikidata":"https://www.wikidata.org/wiki/Q3847057","display_name":"Singular point of a curve","level":2,"score":0.5040985345840454},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49101901054382324},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.47483760118484497},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.4738978445529938},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4466811418533325},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4365995228290558},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.42536303400993347},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17938607931137085},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aiccsa.2008.4493597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa.2008.4493597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE/ACS International Conference on Computer Systems and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W163774565","https://openalex.org/W1499649359","https://openalex.org/W1603495404","https://openalex.org/W1627054999","https://openalex.org/W1639795441","https://openalex.org/W1984261871","https://openalex.org/W2014470493","https://openalex.org/W2024538372","https://openalex.org/W2049200456","https://openalex.org/W2094214226","https://openalex.org/W2104571997","https://openalex.org/W2109131581","https://openalex.org/W2116777725","https://openalex.org/W2124874699","https://openalex.org/W2127717018","https://openalex.org/W2147496928","https://openalex.org/W2154576060","https://openalex.org/W2162959586","https://openalex.org/W4248506240","https://openalex.org/W6629744045","https://openalex.org/W6674131582"],"related_works":["https://openalex.org/W1988155854","https://openalex.org/W3014822659","https://openalex.org/W2117826006","https://openalex.org/W4362496757","https://openalex.org/W1621827506","https://openalex.org/W2566091814","https://openalex.org/W2114937328","https://openalex.org/W4312797710","https://openalex.org/W2148654711","https://openalex.org/W2608025327"],"abstract_inverted_index":{"Core":[0],"point":[1,30,39,52,64,107],"detection":[2,53,103],"is":[3,33,98,119],"very":[4,25],"important":[5],"in":[6,27,109],"fingerprint":[7,13,114],"classification":[8],"and":[9,18,57,74,88],"matching":[10],"process.":[11],"Usually":[12],"images":[14],"have":[15],"noisy":[16],"background":[17],"the":[19,28,37],"local":[20],"orientation":[21,77,90],"field":[22,78],"also":[23],"changes":[24],"rapidly":[26],"singular":[29,38],"area.":[31],"It":[32],"difficult":[34],"to":[35],"locate":[36],"precisely.":[40],"In":[41,59],"this":[42],"paper,":[43],"we":[44],"present":[45,81],"a":[46,82],"new":[47],"algorithm":[48,118],"for":[49,85,130],"optimal":[50],"core":[51,63,106,132],"using":[54,75],"improved":[55,128],"segmentation":[56],"orientation.":[58],"our":[60,96],"technique":[61,84,97],"detects":[62],"accurately":[65],"by":[66],"extracting":[67,86],"best":[68],"region":[69],"of":[70,95,105,111,125],"interest(ROI)":[71],"from":[72],"image":[73],"fine":[76,89],"estimation.":[79],"We":[80],"modified":[83],"ROI":[87],"field.":[91],"The":[92,116],"distinct":[93],"feature":[94],"that":[99],"it":[100],"gives":[101],"high":[102],"percentage":[104],"even":[108],"case":[110],"low":[112],"quality":[113],"images.":[115],"proposed":[117],"applied":[120],"on":[121],"FVC2004":[122],"database.":[123],"Results":[124],"experiments":[126],"demonstrate":[127],"performance":[129],"detecting":[131],"point.":[133]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
