{"id":"https://openalex.org/W2047551064","doi":"https://doi.org/10.1109/atsip.2014.6834625","title":"A new fingerprint identification approach based on SVD features","display_name":"A new fingerprint identification approach based on SVD features","publication_year":2014,"publication_date":"2014-03-01","ids":{"openalex":"https://openalex.org/W2047551064","doi":"https://doi.org/10.1109/atsip.2014.6834625","mag":"2047551064"},"language":"en","primary_location":{"id":"doi:10.1109/atsip.2014.6834625","is_oa":false,"landing_page_url":"https://doi.org/10.1109/atsip.2014.6834625","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","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/A5038881628","display_name":"Ala Balti","orcid":"https://orcid.org/0000-0002-7926-0491"},"institutions":[{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Ala Balti","raw_affiliation_strings":["SIME Laboratory, University of Tunis, Tunis, Tunisia","SIME Laboratory, ENSIT, University of Tunis 5 Av. Taha Hussein, 1008 Tunis, Tunisia"],"affiliations":[{"raw_affiliation_string":"SIME Laboratory, University of Tunis, Tunis, Tunisia","institution_ids":["https://openalex.org/I108714496"]},{"raw_affiliation_string":"SIME Laboratory, ENSIT, University of Tunis 5 Av. Taha Hussein, 1008 Tunis, Tunisia","institution_ids":["https://openalex.org/I108714496"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007949063","display_name":"Mounir Sayadi","orcid":"https://orcid.org/0000-0003-4270-421X"},"institutions":[{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Mounir Sayadi","raw_affiliation_strings":["SIME Laboratory, University of Tunis, Tunis, Tunisia","SIME Laboratory, ENSIT, University of Tunis 5 Av. Taha Hussein, 1008 Tunis, Tunisia"],"affiliations":[{"raw_affiliation_string":"SIME Laboratory, University of Tunis, Tunis, Tunisia","institution_ids":["https://openalex.org/I108714496"]},{"raw_affiliation_string":"SIME Laboratory, ENSIT, University of Tunis 5 Av. Taha Hussein, 1008 Tunis, Tunisia","institution_ids":["https://openalex.org/I108714496"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038881628"],"corresponding_institution_ids":["https://openalex.org/I108714496"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11544471,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"15","issue":null,"first_page":"301","last_page":"304"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9771000146865845,"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/T13579","display_name":"Image and Video Stabilization","score":0.930899977684021,"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/singular-value-decomposition","display_name":"Singular value decomposition","score":0.9038650989532471},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6493777632713318},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6420244574546814},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6409183740615845},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.6393592357635498},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5532858371734619},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.5248544216156006},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.5062131285667419},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4454723000526428},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.4238702058792114},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4200635254383087},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3993508517742157},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06434181332588196}],"concepts":[{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.9038650989532471},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6493777632713318},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6420244574546814},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6409183740615845},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.6393592357635498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5532858371734619},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.5248544216156006},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.5062131285667419},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4454723000526428},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.4238702058792114},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4200635254383087},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3993508517742157},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06434181332588196},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/atsip.2014.6834625","is_oa":false,"landing_page_url":"https://doi.org/10.1109/atsip.2014.6834625","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","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":8,"referenced_works":["https://openalex.org/W1984261871","https://openalex.org/W2020349715","https://openalex.org/W2038805033","https://openalex.org/W2129083166","https://openalex.org/W2147956911","https://openalex.org/W2159498975","https://openalex.org/W2994104008","https://openalex.org/W7047373452"],"related_works":["https://openalex.org/W3014822659","https://openalex.org/W2117826006","https://openalex.org/W1621827506","https://openalex.org/W4362496757","https://openalex.org/W2051501574","https://openalex.org/W2124627279","https://openalex.org/W2050967184","https://openalex.org/W2566091814","https://openalex.org/W2114937328","https://openalex.org/W2148654711"],"abstract_inverted_index":{"Our":[0],"objective":[1],"is":[2,62],"to":[3,22],"apply":[4],"the":[5,35,42,52,55,59,77],"theory":[6],"of":[7,18,58],"linear":[8],"algebra":[9],"called":[10],"singular":[11],"value":[12],"decomposition":[13],"(SVD)":[14],"and":[15,48,84,94],"a":[16],"set":[17],"invariant":[19,49],"moment":[20],"features":[21,86,93],"fingerprint":[23,43,78],"images":[24],"identification.":[25],"For":[26],"optimal":[27],"recognition,":[28],"we":[29,38],"proceed":[30],"in":[31],"two":[32],"steps.":[33],"In":[34,51],"first":[36],"step,":[37,54],"begin":[39],"by":[40],"identifying":[41],"feature":[44],"with":[45,64],"SVD":[46,85],"approach":[47,61],"moment.":[50],"second":[53],"classification":[56],"accuracy":[57],"proposed":[60],"evaluated":[63],"absolute":[65],"distance":[66],"classifier.":[67],"I":[68],"have":[69],"implemented":[70],"many":[71],"extensive":[72],"experiments,":[73],"they":[74],"prove":[75],"that":[76],"identification":[79],"based":[80],"on":[81],"Invariants":[82],"Moments":[83],"give":[87],"better":[88],"results":[89],"than":[90],"several":[91],"other":[92],"methods.":[95]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
