{"id":"https://openalex.org/W4400088402","doi":"https://doi.org/10.3103/s0146411624700202","title":"Binary Wavelet Transform-Based Financial Text Image Authentication Algorithm","display_name":"Binary Wavelet Transform-Based Financial Text Image Authentication Algorithm","publication_year":2024,"publication_date":"2024-06-01","ids":{"openalex":"https://openalex.org/W4400088402","doi":"https://doi.org/10.3103/s0146411624700202"},"language":"en","primary_location":{"id":"doi:10.3103/s0146411624700202","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411624700202","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","raw_type":"journal-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/A5100636785","display_name":"Wenjin Wang","orcid":"https://orcid.org/0000-0001-7832-5444"},"institutions":[{"id":"https://openalex.org/I196934937","display_name":"Liaocheng University","ror":"https://ror.org/03yh0n709","country_code":"CN","type":"education","lineage":["https://openalex.org/I196934937"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenjin Wang","raw_affiliation_strings":["School of Computer Science and Technology, Liaocheng University, 252000, Liaocheng, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Liaocheng University, 252000, Liaocheng, China","institution_ids":["https://openalex.org/I196934937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104108506","display_name":"Miaomiao Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I196934937","display_name":"Liaocheng University","ror":"https://ror.org/03yh0n709","country_code":"CN","type":"education","lineage":["https://openalex.org/I196934937"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miaomiao Lu","raw_affiliation_strings":["School of Business, Liaocheng University, 252000, Liaocheng, China"],"affiliations":[{"raw_affiliation_string":"School of Business, Liaocheng University, 252000, Liaocheng, China","institution_ids":["https://openalex.org/I196934937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113267729","display_name":"Xuanling Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134540","display_name":"China Ocean Shipping (China)","ror":"https://ror.org/044gm0487","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210134540"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanling Dai","raw_affiliation_strings":["First System Sector, CETC Ocean Information Co. Ltd., 572400, Sanya, China"],"affiliations":[{"raw_affiliation_string":"First System Sector, CETC Ocean Information Co. Ltd., 572400, Sanya, China","institution_ids":["https://openalex.org/I4210134540"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110438039","display_name":"Ping Jiang","orcid":"https://orcid.org/0000-0003-2429-3285"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Jiang","raw_affiliation_strings":["School of Electrical Engineering, University of Jinan, 250022, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, University of Jinan, 250022, Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100636785"],"corresponding_institution_ids":["https://openalex.org/I196934937"],"apc_list":null,"apc_paid":null,"fwci":0.5263,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63696719,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"58","issue":"3","first_page":"326","last_page":"335"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9948999881744385,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9948999881744385,"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":0.9718999862670898,"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/T14319","display_name":"Currency Recognition and Detection","score":0.9549999833106995,"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/computer-science","display_name":"Computer science","score":0.8445119857788086},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5230337381362915},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5187997221946716},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5145401358604431},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.4802142083644867},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.4505050480365753},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42876681685447693},{"id":"https://openalex.org/keywords/binary-image","display_name":"Binary image","score":0.4221596121788025},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4129883050918579},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39892908930778503},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3488994240760803},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3250460624694824},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2695311903953552},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.17194581031799316},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.08595451712608337},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07597857713699341}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8445119857788086},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5230337381362915},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5187997221946716},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5145401358604431},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.4802142083644867},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.4505050480365753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42876681685447693},{"id":"https://openalex.org/C193828747","wikidata":"https://www.wikidata.org/wiki/Q864118","display_name":"Binary image","level":4,"score":0.4221596121788025},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4129883050918579},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39892908930778503},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3488994240760803},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3250460624694824},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2695311903953552},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.17194581031799316},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.08595451712608337},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07597857713699341}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3103/s0146411624700202","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411624700202","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1971403771","https://openalex.org/W2028161258","https://openalex.org/W2091123984","https://openalex.org/W2407880239","https://openalex.org/W2759307333","https://openalex.org/W2791432623","https://openalex.org/W2808587114","https://openalex.org/W2809815382","https://openalex.org/W2832441265","https://openalex.org/W2921416452","https://openalex.org/W2922331654","https://openalex.org/W2946825177","https://openalex.org/W2969694194","https://openalex.org/W2974511010","https://openalex.org/W2989909796"],"related_works":["https://openalex.org/W183670115","https://openalex.org/W1501179639","https://openalex.org/W3199035354","https://openalex.org/W2085792030","https://openalex.org/W1807354010","https://openalex.org/W3143644526","https://openalex.org/W598225674","https://openalex.org/W2734230146","https://openalex.org/W1588899229","https://openalex.org/W2077021924"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"novel":[4],"financial":[5,22,144,190,203],"text":[6,23,145,191,204],"image":[7,24,38,104,161,192],"security":[8],"authentication":[9],"algorithm":[10,18,80,152,177],"based":[11,40],"on":[12,41],"binary":[13,26],"wavelet":[14,27],"transform.":[15,28],"Initially,":[16],"the":[17,20,32,56,60,66,69,74,79,82,86,103,110,113,117,121,139,157,169],"preprocesses":[19],"original":[21],"using":[25,150],"Subsequently,":[29],"it":[30,196],"categorizes":[31],"pixels":[33,46,58],"in":[34,59,85],"each":[35],"low-frequency":[36,70],"subband":[37,96,123],"block":[39,63,91,105],"their":[42],"flippability.":[43],"The":[44,100],"\u201cnonflippable\u201d":[45],"are":[47,178],"then":[48],"hashed":[49],"to":[50,64,93,129],"generate":[51],"watermark":[52,67,98,115],"information,":[53],"which":[54],"replaces":[55],"\u201cflappable\u201d":[57],"corresponding":[61],"mapping":[62,92],"embed":[65,94],"into":[68],"subband.":[71],"By":[72],"studying":[73],"characteristics":[75],"of":[76,102,143,175,182,201],"high-frequency":[77,95],"coefficients,":[78],"identifies":[81],"flippable":[83],"coefficients":[84],"frequency":[87],"domain":[88],"and":[89,116,172],"uses":[90],"encryption":[97],"information.":[99],"authenticity":[101],"is":[106,127,153,186],"verified":[107],"by":[108],"comparing":[109],"consistency":[111],"between":[112],"reconstructed":[114],"extracted":[118],"watermark.":[119],"Furthermore,":[120],"\u201clow-frequency-high-frequency":[122],"joint":[124],"judgment":[125],"criterion\u201d":[126],"employed":[128],"enhance":[130],"tampering":[131,166,199],"detection":[132,200],"performance.":[133],"Our":[134],"experimental":[135],"results":[136],"indicate":[137],"that":[138],"structural":[140],"similarity":[141],"(SSIM)":[142],"images":[146],"embedded":[147],"with":[148,189],"watermarks":[149],"this":[151,176],"above":[154],"0.99,":[155],"satisfying":[156],"human":[158],"visual":[159],"system\u2019s":[160],"quality":[162],"requirements.":[163],"Under":[164],"different":[165],"attack":[167],"rates,":[168],"missed-detection":[170],"probability":[171,174],"false-detection":[173],"lower":[179],"than":[180],"those":[181],"existing":[183],"methods.":[184],"It":[185],"also":[187],"compatible":[188],"compression":[193],"algorithms,":[194],"making":[195],"suitable":[197],"for":[198],"important":[202],"images.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-01-24T23:23:39.755997","created_date":"2025-10-10T00:00:00"}