{"id":"https://openalex.org/W2548234149","doi":"https://doi.org/10.1109/infosec.2015.7435499","title":"Online signature verification using hybrid features","display_name":"Online signature verification using hybrid features","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2548234149","doi":"https://doi.org/10.1109/infosec.2015.7435499","mag":"2548234149"},"language":"en","primary_location":{"id":"doi:10.1109/infosec.2015.7435499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infosec.2015.7435499","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Second International Conference on Information Security and Cyber Forensics (InfoSec)","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/A5047720462","display_name":"Madiha Tahir","orcid":"https://orcid.org/0000-0002-7314-7033"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Madiha Tahir","raw_affiliation_strings":["Computer Engineering, National University of Science and Technolog, Rawalpindi, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Engineering, National University of Science and Technolog, Rawalpindi, Pakistan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017346745","display_name":"Muhammad Usman Akram","orcid":"https://orcid.org/0000-0002-6208-7231"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Usman Akram","raw_affiliation_strings":["Computer Engineering, National University of Science and Technolog, Rawalpindi, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Engineering, National University of Science and Technolog, Rawalpindi, Pakistan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5407,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.77120275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"11","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9998999834060669,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9998999834060669,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.991599977016449,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.7553054094314575},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7504329085350037},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.6646810173988342},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5877208113670349},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5860254764556885},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.5294116735458374},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5231927037239075},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4990818500518799},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.46642786264419556},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.43900150060653687},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.43733203411102295},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4364911615848541},{"id":"https://openalex.org/keywords/signature-recognition","display_name":"Signature recognition","score":0.4275832176208496},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4031144976615906},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.32512474060058594},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2091406285762787},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.16741874814033508},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11990785598754883}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7553054094314575},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7504329085350037},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.6646810173988342},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5877208113670349},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5860254764556885},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.5294116735458374},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5231927037239075},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4990818500518799},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.46642786264419556},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.43900150060653687},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.43733203411102295},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4364911615848541},{"id":"https://openalex.org/C74370796","wikidata":"https://www.wikidata.org/wiki/Q15924863","display_name":"Signature recognition","level":3,"score":0.4275832176208496},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4031144976615906},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32512474060058594},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2091406285762787},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.16741874814033508},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11990785598754883},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infosec.2015.7435499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infosec.2015.7435499","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 Second International Conference on Information Security and Cyber Forensics (InfoSec)","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":45,"referenced_works":["https://openalex.org/W927200757","https://openalex.org/W1023479487","https://openalex.org/W1480822059","https://openalex.org/W1523003285","https://openalex.org/W1523015601","https://openalex.org/W1545724712","https://openalex.org/W1560006303","https://openalex.org/W1562188074","https://openalex.org/W1566644363","https://openalex.org/W1575689069","https://openalex.org/W1576598513","https://openalex.org/W1969047848","https://openalex.org/W1972607751","https://openalex.org/W1978062468","https://openalex.org/W1997870615","https://openalex.org/W2027920454","https://openalex.org/W2028164392","https://openalex.org/W2032098242","https://openalex.org/W2032875197","https://openalex.org/W2038821163","https://openalex.org/W2040396463","https://openalex.org/W2058883400","https://openalex.org/W2060755870","https://openalex.org/W2061828128","https://openalex.org/W2068462797","https://openalex.org/W2078382518","https://openalex.org/W2086669062","https://openalex.org/W2102882759","https://openalex.org/W2105881518","https://openalex.org/W2108007560","https://openalex.org/W2117489990","https://openalex.org/W2131991463","https://openalex.org/W2135360803","https://openalex.org/W2135466283","https://openalex.org/W2137775294","https://openalex.org/W2142069714","https://openalex.org/W2149340496","https://openalex.org/W2149407554","https://openalex.org/W2149605730","https://openalex.org/W2169848562","https://openalex.org/W2488586679","https://openalex.org/W2533670657","https://openalex.org/W4241539022","https://openalex.org/W6631063389","https://openalex.org/W6722775846"],"related_works":["https://openalex.org/W3213304460","https://openalex.org/W2612421037","https://openalex.org/W2110905250","https://openalex.org/W1532125613","https://openalex.org/W2139474808","https://openalex.org/W2165059453","https://openalex.org/W2091732902","https://openalex.org/W40542382","https://openalex.org/W1487904776","https://openalex.org/W1576733613"],"abstract_inverted_index":{"Biometrics":[0],"is":[1,26,37,84,116,119],"the":[2,34,88],"process":[3],"by":[4,17,71,113],"which":[5,118],"a":[6,27],"person's":[7],"physical,":[8],"behavioral":[9],"and":[10,15,45,66,78,100],"psychological":[11],"traits":[12],"are":[13],"identified":[14],"recorded":[16],"an":[18],"electronic":[19],"device":[20],"of":[21,33,41,74,90,97],"identity.Online":[22],"handwritten":[23],"signature":[24],"verification":[25],"biometric":[28],"based":[29,38,81,102],"security":[30],"system.":[31],"Most":[32],"previous":[35,122],"work":[36],"on":[39,54,125],"statistics":[40],"online":[42,56,127],"signatures,":[43],"local":[44],"global":[46],"features.":[47,82],"We":[48],"proposed":[49,91],"to":[50,86],"test":[51],"hybrid":[52],"features":[53,62,103],"Japanese":[55,126],"dataset":[57],"from":[58],"ICDAR2013":[59],"[38].We":[60],"extract":[61],"in":[63],"frequency":[64],"domain":[65,68],"time":[67],"as":[69],"well":[70],"using":[72],"combination":[73,96],"global,":[75,98],"Fourier":[76],"transform":[77,80],"wavelet":[79],"Accuracy":[83],"calculated":[85],"compare":[87],"efficiency":[89],"method.":[92],"It":[93],"shows":[94],"that":[95],"DWT":[99],"FFT":[101],"yields":[104],"better":[105,120],"results":[106],"than":[107,121],"other":[108],"combinations.":[109],"The":[110],"accuracy":[111],"achieved":[112],"our":[114],"system":[115],"73.49%":[117],"systems":[123],"evaluated":[124],"dataset.":[128]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}