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Intell."],"published-print":{"date-parts":[[2023,10]]},"abstract":"<jats:p>Scene text style transfer without a language barrier is an open challenge for the video and scene text recognition community because this plays a vital role in poster, web design, augmenting character images, and editing characters to improve scene text recognition performance and usability. This work presents a new model, called Script Independent Scene Text Style Transfer Network (SISTSTNet), for extracting scene characters and transferring text style simultaneously. The SISTSTNet performs mapping in language-independent feature space for transferring style. It is designed based on a Style Parameter Network and Target Encoder Network through lightweight MobileNetv3 convolutional and residual blocks to capture the style and shape to generate target characters. Similarly, a generative model is explored through the Visual Geometry Group (VGG) network for character replacement. The SISTSTNet is flexible and works on different languages and arbitrary examples in a neat and unified fashion. The experimental results on images in various languages, namely, English, Chinese, Hindi, Russian, Japanese, Arabic, Greek, and Bengali and cross-language validation demonstrate the effectiveness of the proposed method. The performance of the method is superior compared to the state-of-the-art methods in terms of quality measures, language independence, shape-preserving, and efficiency. The code and dataset will be released to the public to support reproducibility.<\/jats:p>","DOI":"10.1142\/s0218001423530038","type":"journal-article","created":{"date-parts":[[2023,10,9]],"date-time":"2023-10-09T09:51:52Z","timestamp":1696845112000},"source":"Crossref","is-referenced-by-count":3,"title":["A New Lightweight Script Independent Scene Text Style Transfer Network"],"prefix":"10.1142","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9026-4613","authenticated-orcid":false,"given":"Palaiahnakote","family":"Shivakumara","sequence":"first","affiliation":[{"name":"Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur 50603, Malaysia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9330-6839","authenticated-orcid":false,"given":"Ayush","family":"Roy","sequence":"additional","affiliation":[{"name":"Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7201-0855","authenticated-orcid":false,"given":"Lokesh","family":"Nandanwar","sequence":"additional","affiliation":[{"name":"Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5426-2618","authenticated-orcid":false,"given":"Umapada","family":"Pal","sequence":"additional","affiliation":[{"name":"Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4062-6553","authenticated-orcid":false,"given":"Yue","family":"Lu","sequence":"additional","affiliation":[{"name":"East China Normal University, Shanghai, P. 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