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The suggested approach employs the deep neural architectures VGG16 and Resnet50 as feature extractors. The architecture comprises three parts: Feature extraction using individual models, a feature fusion layer, and a classification layer. Initially, we optimize the training process and feature extraction using VGG16 and ResNet50. The feature vectors obtained from both models are then fused together in the feature fusion layer and input into the classification layer for the classification task. Experiments are conducted on a custom-created dataset as well as benchmark datasets including ICPR FDC, IMEI Forged Number, and Kundu to demonstrate that the proposed method is superior to existing approaches. <\/jats:p>","DOI":"10.1142\/s0218001424520062","type":"journal-article","created":{"date-parts":[[2024,3,2]],"date-time":"2024-03-02T03:39:26Z","timestamp":1709350766000},"source":"Crossref","is-referenced-by-count":3,"title":["Altered Handwritten Text Detection in Document Images Using Deep Learning"],"prefix":"10.1142","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6115-9731","authenticated-orcid":false,"given":"Gayatri","family":"Patil","sequence":"first","affiliation":[{"name":"Department of Computer Science, Rani Channamma University, Belagavi, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9026-4613","authenticated-orcid":false,"given":"Shivakumara","family":"Palaiahnakote","sequence":"additional","affiliation":[{"name":"Department of Computer Science, School of Science, Engineering and Environment (SEE), University of Salford, Manchester, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5373-4049","authenticated-orcid":false,"given":"Shivanand S.","family":"Gornale","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Rani Channamma University, Belagavi, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2129-4223","authenticated-orcid":false,"given":"Daniel P.","family":"Lopresti","sequence":"additional","affiliation":[{"name":"Computer Science and Engineering, Lehigh University, Memorial Dr W Bethlehem, Philadelphia 18015, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2024,4,5]]},"reference":[{"key":"S0218001424520062BIB001","first-page":"13","volume-title":"2018 24th Int. 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