{"id":"https://openalex.org/W2000710599","doi":"https://doi.org/10.1109/dsde.2010.10","title":"A DWT Based Approach for Steganography Using Biometrics","display_name":"A DWT Based Approach for Steganography Using Biometrics","publication_year":2010,"publication_date":"2010-02-01","ids":{"openalex":"https://openalex.org/W2000710599","doi":"https://doi.org/10.1109/dsde.2010.10","mag":"2000710599"},"language":"en","primary_location":{"id":"doi:10.1109/dsde.2010.10","doi":"https://doi.org/10.1109/dsde.2010.10","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsde.2010.10","pdf_url":null,"source":{"id":"https://openalex.org/S4306418166","display_name":"Data Storage and Data Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Data Storage and Data Engineering","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5087509577","display_name":"Anjali A. Shejul","orcid":"https://orcid.org/0000-0001-7886-4034","observed_orcids":["https://orcid.org/0000-0001-7886-4034"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anjali A. Shejul","raw_affiliation_strings":["Computer Engineering Department, MGM College of Engineering & Technology, Mumbai, Maharashtra, India","Comput. Eng. Dept., MGM Coll. of Eng. & Technol., Navi Mumbai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Engineering Department, MGM College of Engineering & Technology, Mumbai, Maharashtra, India","institution_ids":[]},{"raw_affiliation_string":"Comput. Eng. Dept., MGM Coll. of Eng. & Technol., Navi Mumbai, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078496897","display_name":"Uday Kulkarni","orcid":"https://orcid.org/0000-0003-0109-9957","observed_orcids":["https://orcid.org/0000-0003-0109-9957"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"U.L. Kulkarni","raw_affiliation_strings":["Computer Engineering Department, Konkan Gyanpeeth College of Engineering, Karjat, Maharashtra, India","Comput. Eng. Dept., Konkan Gyanpeeth Coll. of Eng., Karjat, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Engineering Department, Konkan Gyanpeeth College of Engineering, Karjat, Maharashtra, India","institution_ids":[]},{"raw_affiliation_string":"Comput. Eng. Dept., Konkan Gyanpeeth Coll. of Eng., Karjat, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.4194,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":{"value":0.96138011,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"39","last_page":"43"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T10901","display_name":"Advanced Data Compression Techniques","score":9.999999747378752e-05,"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":9.999999747378752e-05,"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/image-steganography","display_name":"image steganography","score":0.9049999713897705},{"id":"https://openalex.org/keywords/skin-tone-detection","display_name":"skin tone detection","score":0.8019999861717224},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"discrete wavelet transform","score":0.9639999866485596},{"id":"https://openalex.org/keywords/hsv-color-space","display_name":"HSV color space","score":0.871999979019165},{"id":"https://openalex.org/keywords/secret-message-embedding","display_name":"secret message embedding","score":0.7210000157356262},{"id":"https://openalex.org/keywords/psnr","display_name":"PSNR","score":0.578000009059906}],"concepts":[{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.7777533531188965},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7073132991790771},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.6511395573616028},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6174671053886414},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5637077689170837},{"id":"https://openalex.org/C3073032","wikidata":"https://www.wikidata.org/wiki/Q15912075","display_name":"Information hiding","level":3,"score":0.5032379031181335},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.4897949695587158},{"id":"https://openalex.org/C13179402","wikidata":"https://www.wikidata.org/wiki/Q7606662","display_name":"Steganography tools","level":4,"score":0.44893914461135864},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.41655510663986206},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.41557571291923523},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39317795634269714},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.2901993989944458},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.289245069026947},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.2384566366672516},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.2224973440170288}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsde.2010.10","doi":"https://doi.org/10.1109/dsde.2010.10","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsde.2010.10","pdf_url":null,"source":{"id":"https://openalex.org/S4306418166","display_name":"Data Storage and Data Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Data Storage and Data Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1539395380","https://openalex.org/W2016557874","https://openalex.org/W2029596906","https://openalex.org/W2075652908","https://openalex.org/W2096487983","https://openalex.org/W2100358114","https://openalex.org/W2103228545","https://openalex.org/W2106472152","https://openalex.org/W2118426301","https://openalex.org/W2899580713","https://openalex.org/W3142067920"],"related_works":["https://openalex.org/W1963658137","https://openalex.org/W7095364370","https://openalex.org/W2187957464","https://openalex.org/W7100099149","https://openalex.org/W7097626166","https://openalex.org/W2551875511","https://openalex.org/W2886374989","https://openalex.org/W7100863828","https://openalex.org/W7099503711","https://openalex.org/W2181441507"],"abstract_inverted_index":{"Steganography":[0,32],"is":[1,38,50,59,81,95,115,203],"the":[2,6,26,43,120,182],"art":[3],"of":[4,8,54,64,119,124,135],"hiding":[5,137,152],"existence":[7],"data":[9,58,74,93,114,136,153],"in":[10,35,117,130,157,181,190],"another":[11],"transmission":[12],"medium":[13],"to":[14,47],"achieve":[15],"secret":[16,57,92],"communication.":[17],"It":[18],"does":[19],"not":[20],"replace":[21],"cryptography":[22],"but":[23],"rather":[24],"boosts":[25],"security":[27,150],"using":[28,83,97],"its":[29],"obscurity":[30],"features.":[31],"method":[33],"used":[34,46],"this":[36,77],"paper":[37],"based":[39],"on":[40],"biometrics.":[41],"And":[42,197],"biometric":[44],"feature":[45],"implement":[48],"steganography":[49,179],"skin":[51,62,78,128,187],"tone":[52,79,188],"region":[53,63,162],"images.":[55],"Here":[56],"embedded":[60],"within":[61],"image":[65,143],"that":[66,131,173],"will":[67],"provide":[68],"an":[69,142,148,176],"excellent":[70],"secure":[71],"location":[72],"for":[73],"hiding.":[75],"For":[76],"detection":[80],"performed":[82,96],"HSV":[84],"(Hue,":[85],"Saturation":[86],"and":[87],"Value)":[88],"color":[89],"space.":[90],"Additionally":[91],"embedding":[94],"frequency":[98,122],"domain":[99],"approach":[100],"-":[101],"DWT":[102,106,125],"(Discrete":[103,110],"Wavelet":[104],"Transform),":[105],"outperforms":[107],"than":[108,151],"DCT":[109],"Cosine":[111],"Transform).":[112],"Secret":[113],"hidden":[116],"one":[118],"high":[121],"sub-band":[123],"by":[126,140,174],"tracing":[127],"pixels":[129],"sub-band.":[132],"Different":[133],"steps":[134],"are":[138],"applied":[139],"cropping":[141,155],"interactively.":[144],"Cropping":[145],"results":[146],"into":[147],"enhanced":[149],"without":[154],"i.e.":[156],"whole":[158],"image,":[159,191],"so":[160],"cropped":[161],"works":[163],"as":[164],"a":[165,194],"key":[166],"at":[167],"decoding":[168],"side.":[169],"This":[170],"study":[171],"shows":[172],"adopting":[175],"object":[177],"oriented":[178],"mechanism,":[180],"sense":[183],"that,":[184],"we":[185,192],"track":[186],"objects":[189],"get":[193],"higher":[195],"security.":[196],"also":[198],"satisfactory":[199],"PSNR":[200],"(Peak-Signal-to-Noise":[201],"Ratio)":[202],"obtained.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":3}],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2016-06-24T00:00:00"}
