DELIGHT-Net: DEep and LIGHTweight network to segment Indian text at word level from wild scenic images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Media Technology,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s13735-023-00293-6.pdf
Reference46 articles.
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2. Amara M, Zidi K, Ghedira K, Zidi S (2016) New rules to enhance the performances of histogram projection for segmenting small-sized Arabic words. In: International conference on hybrid intelligent systems. Springer, pp 167–176
3. Bansal V, Sinha RMK (2002) Segmentation of touching and fused Devanagari characters. Pattern Recogn 35:875–893. https://doi.org/10.1016/S0031-3203(01)00081-4
4. Basavaraju HT, Aradhya VN, Pavithra MS, Guru DS, Bhateja V (2021) Arbitrary oriented multilingual text detection and segmentation using level set and Gaussian mixture model. Evol Intell 14:881–894. https://doi.org/10.1007/s12065-020-00472-y
5. Bhattacharya U, Parui SK, Mondal S (2009) Devanagari and Bangla text extraction from natural scene images. In: 2009 10th international conference on document analysis and recognition, pp 171–175. https://doi.org/10.1109/ICDAR.2009.178
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