{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T09:53:06Z","timestamp":1753869186199,"version":"3.41.2"},"reference-count":29,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2025,4,24]],"date-time":"2025-04-24T00:00:00Z","timestamp":1745452800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Trans Emerging Tel Tech"],"published-print":{"date-parts":[[2025,5]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:p>Multimodal biometric systems offer several advantages over unimodal systems, including a lower error rate, greater accuracy and broader coverage of residents. However, the multimodal systems need to store multiple biometric traits associated with each user, which brings a higher need for integrity and privacy. This study describes a deep learning (DL) model for a feature\u2010level coalition that utilizes the biographical data of the user's face and iris to create a secure multimodal template. To create a reliable, unique multimodal shareable latent image, a deep hashing (linearization) approach is used for the fusion architecture. Furthermore, a hybrid secure architecture that fuses secure sketching techniques with erasable biometric features and integrates them into a complete security framework is used in this work. The efficiency of the recommended method is demonstrated using the face and iris images from the multimodal database. The proposed method provides the ability to delete templates and better protect the biometric data. This method works with the \u201cWVU\u201d multimodal data store and the \u201chashing\u201d method for \u201cimage retrieval.\u201d The proposed improved VGG16 achieves a data accuracy of 99.85. The paper also provides information on the techniques for structuring modalities such as iris and face using deep hashing, multimodal fusion and biometric security techniques. However, further studies are needed to extend the proposed framework to other unrestricted biometric aspects.<\/jats:p>","DOI":"10.1002\/ett.70142","type":"journal-article","created":{"date-parts":[[2025,4,24]],"date-time":"2025-04-24T07:26:48Z","timestamp":1745479608000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["<scp>FT<\/scp>\u2010<scp>HT<\/scp>: A Fine\u2010Tuned <scp>VGG16<\/scp>\u2010Based and Hashing Framework for Secure Multimodal Biometric System"],"prefix":"10.1002","volume":"36","author":[{"given":"Seema","family":"Rani","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering IKGPTU  Kapurthala Punjab India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Neeraj","family":"Mohan","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering IKGPTU  Kapurthala Punjab India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Priyanka","family":"Kaushal","sequence":"additional","affiliation":[{"name":"Department of Applied Sciences Chandigarh Engineering College\u00a0\u2013\u00a0CGC  Mohali Punjab India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2025,4,24]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.21917\/ijivp.2020.0317"},{"key":"e_1_2_8_3_1","first-page":"410","article-title":"Fatigue State Recognition System for Miners Based on a Multi\u2010Modal Feature Extraction and Fusion Framework","author":"Pan H.","year":"2024","journal-title":"IEEE Transactions on Cognitive and Developmental Systems"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2024.3456213"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.32604\/cmc.2024.047870"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-021-0236-9"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1002\/9781119785491.ch5"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-019-00698-6"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11831-018-9294-z"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2020.102809"},{"key":"e_1_2_8_11_1","unstructured":"J.Lowe \u201cOcular Motion Classification for Mobile Device Presentation Attack Detection\u201d (PhD diss. Univ Missouri\u2010Kansas 2020) https:\/\/www.proquest.com\/openview\/68860123ee83cb0fdcd22548bf405a3e\/1?pq\u2010origsite=gscholar&cbl=18750&diss=y."},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.1155\/2024\/8112209"},{"key":"e_1_2_8_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11042\u2010019\u201008123\u2010w"},{"key":"e_1_2_8_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jksuci.2020.04.002"},{"key":"e_1_2_8_15_1","doi-asserted-by":"publisher","DOI":"10.1080\/00051144.2019.1565681"},{"key":"e_1_2_8_16_1","doi-asserted-by":"publisher","DOI":"10.23919\/CCC52363.2021.9550727"},{"key":"e_1_2_8_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/HYDCON48903.2020.9242785"},{"key":"e_1_2_8_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/NSS.2010.19"},{"key":"e_1_2_8_19_1","unstructured":"Y.Yin S.He R.Zhang et al. \u201cDeep Learning for Iris Recognition: A Review \u201d arXiv Preprint arXiv:2303.08514 2023 https:\/\/arxiv.org\/abs\/2303.08514."},{"key":"e_1_2_8_20_1","doi-asserted-by":"publisher","DOI":"10.3390\/s20195523"},{"key":"e_1_2_8_21_1","doi-asserted-by":"publisher","DOI":"10.3390\/electronics9010085"},{"key":"e_1_2_8_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.09.123"},{"key":"e_1_2_8_23_1","first-page":"4","volume-title":"1st International Symposium on Systems and Control in Aerospace and Astronautics; Harbin, 19\u201321","author":"Zhang X.","year":"2006"},{"key":"e_1_2_8_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.array.2022.100171"},{"key":"e_1_2_8_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.57"},{"issue":"2","key":"e_1_2_8_26_1","first-page":"150","article-title":"Using Multimodal Biometric Fusion for Watermarking of Multiple Images","volume":"70","author":"Singh H. 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