{"id":"https://openalex.org/W2126804058","doi":"https://doi.org/10.1109/sysose.2008.4724177","title":"A hybrid false minutiae removal algorithm with boundary elimination","display_name":"A hybrid false minutiae removal algorithm with boundary elimination","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2126804058","doi":"https://doi.org/10.1109/sysose.2008.4724177","mag":"2126804058"},"language":"en","primary_location":{"id":"doi:10.1109/sysose.2008.4724177","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sysose.2008.4724177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on System of Systems Engineering","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/A5103898099","display_name":"Shahida Jabeen","orcid":"https://orcid.org/0000-0001-9773-960X"},"institutions":[{"id":"https://openalex.org/I312958679","display_name":"National University of Science and Technology","ror":"https://ror.org/02kesvt12","country_code":"ZW","type":"education","lineage":["https://openalex.org/I312958679"]}],"countries":["ZW"],"is_corresponding":false,"raw_author_name":"Shahida Jabeen","raw_affiliation_strings":["College of Electrical & Mechanical Engineering Computer Engineering Department, National University of Science and Technology, Rawalpindi, Pakistan","Comput. Eng. Dept., Nat. Univ. of Sci. & Technol., Rawalpindi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical & Mechanical Engineering Computer Engineering Department, National University of Science and Technology, Rawalpindi, Pakistan","institution_ids":[]},{"raw_affiliation_string":"Comput. Eng. Dept., Nat. Univ. of Sci. & Technol., Rawalpindi","institution_ids":["https://openalex.org/I312958679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050441398","display_name":"Shoab Ahmed Khan","orcid":"https://orcid.org/0000-0003-0265-8204"},"institutions":[{"id":"https://openalex.org/I312958679","display_name":"National University of Science and Technology","ror":"https://ror.org/02kesvt12","country_code":"ZW","type":"education","lineage":["https://openalex.org/I312958679"]}],"countries":["ZW"],"is_corresponding":false,"raw_author_name":"Shoab A. Khan","raw_affiliation_strings":["College of Electrical & Mechanical EngineeringComputer Engineering Department, National University of Science and Technology, Rawalpindi, Pakistan","Comput. Eng. Dept., Nat. Univ. of Sci. & Technol., Rawalpindi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical & Mechanical EngineeringComputer Engineering Department, National University of Science and Technology, Rawalpindi, Pakistan","institution_ids":[]},{"raw_affiliation_string":"Comput. Eng. Dept., Nat. Univ. of Sci. & Technol., Rawalpindi","institution_ids":["https://openalex.org/I312958679"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3802,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.63929619,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"4","issue":null,"first_page":"1","last_page":"6"},"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","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"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.991100013256073,"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/minutiae","display_name":"Minutiae","score":0.9808491468429565},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7121514678001404},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.6888998746871948},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5844870805740356},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5740923285484314},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.5574206709861755},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5385128259658813},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5340401530265808},{"id":"https://openalex.org/keywords/blossom-algorithm","display_name":"Blossom algorithm","score":0.49152788519859314},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4869292974472046},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4832102060317993},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4552537202835083},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19540449976921082}],"concepts":[{"id":"https://openalex.org/C67174900","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Minutiae","level":4,"score":0.9808491468429565},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7121514678001404},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.6888998746871948},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5844870805740356},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5740923285484314},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.5574206709861755},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5385128259658813},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5340401530265808},{"id":"https://openalex.org/C61455927","wikidata":"https://www.wikidata.org/wiki/Q1030529","display_name":"Blossom algorithm","level":3,"score":0.49152788519859314},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4869292974472046},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4832102060317993},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4552537202835083},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19540449976921082},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sysose.2008.4724177","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sysose.2008.4724177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on System of Systems Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W40708736","https://openalex.org/W1518260493","https://openalex.org/W1525133814","https://openalex.org/W1926300441","https://openalex.org/W1974747508","https://openalex.org/W2014470493","https://openalex.org/W2028176837","https://openalex.org/W2081410745","https://openalex.org/W2093354131","https://openalex.org/W2101576074","https://openalex.org/W2121578378","https://openalex.org/W2127083748","https://openalex.org/W2134845472","https://openalex.org/W2158101450","https://openalex.org/W2161961739","https://openalex.org/W2168474660","https://openalex.org/W6601619271","https://openalex.org/W6640391717","https://openalex.org/W6684759913"],"related_works":["https://openalex.org/W2124627279","https://openalex.org/W2566091814","https://openalex.org/W1540357037","https://openalex.org/W2122988758","https://openalex.org/W2126450185","https://openalex.org/W3169072271","https://openalex.org/W1676325688","https://openalex.org/W3037288134","https://openalex.org/W2082047178","https://openalex.org/W2087945608"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,45,118],"hybrid":[3,55],"false":[4,39,61,86,114],"minutiae":[5,62],"removal":[6,110],"algorithm":[7,16,51,82,95,127],"for":[8],"accurate":[9],"matching":[10],"of":[11,53,111],"low":[12],"quality":[13],"fingerprints.":[14],"This":[15],"is":[17,65],"designed":[18],"to":[19],"be":[20,74],"used":[21],"in":[22,77,117],"efficient":[23],"security":[24],"systems.":[25,80],"It":[26,64],"does":[27],"not":[28],"depend":[29],"on":[30,99],"filters":[31],"like":[32,88],"many":[33],"present":[34],"algorithms,":[35,108],"rather":[36],"it":[37],"removes":[38,84,130],"minutia":[40,87,115],"considering":[41],"statistical":[42],"information":[43],"from":[44],"thinned":[46],"binary":[47],"image.":[48,124],"Our":[49,81],"proposed":[50],"consists":[52],"two":[54],"processes":[56],"i.e.":[57],"boundary":[58],"elimination":[59],"and":[60,71,92,101],"removal.":[63],"found":[66],"better":[67],"than":[68],"previous":[69],"techniques":[70],"hence":[72],"can":[73],"efficiently":[75],"implemented":[76],"fingerprint":[78],"identification":[79],"successfully":[83],"prime":[85],"bridges,":[89],"ridge":[90],"breaks":[91],"spikes.":[93],"The":[94],"has":[96],"been":[97],"applied":[98],"FVC2002":[100],"FVC2004.":[102],"Experimental":[103],"results,":[104],"compared":[105],"with":[106],"other":[107],"show":[109],"almost":[112],"99%":[113],"occurring":[116],"dry,":[119],"oily,":[120],"dark":[121],"or":[122],"dirty":[123],"Moreover,":[125],"the":[126],"hardly":[128],"ever":[129],"genuine":[131],"minutia.":[132]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}