{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:06:29Z","timestamp":1750309589647,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,17]],"date-time":"2024-10-17T00:00:00Z","timestamp":1729123200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,17]]},"DOI":"10.1145\/3723178.3723229","type":"proceedings-article","created":{"date-parts":[[2025,6,6]],"date-time":"2025-06-06T07:16:47Z","timestamp":1749194207000},"page":"384-390","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Advancements in Handwritten Bangla Text Generation using Generative Adversarial Networks: A Focus on Complete Text Recovery"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-5877-6031","authenticated-orcid":false,"given":"Md. Robiul Islam","family":"Niloy","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, United College of Aviation Science & Management, Dhaka, Bangladesh"}]}],"member":"320","published-online":{"date-parts":[[2025,6,6]]},"reference":[{"key":"e_1_3_3_2_2_2","doi-asserted-by":"crossref","unstructured":"B. Abir S.\u00a0N. Mahal M.\u00a0S. Islam and A. Chakrabarty. 2019. Bangla handwritten character recognition with multilayer convolutional neural network. Advances in Data and Information Sciences (2019) 155\u2013165.","DOI":"10.1007\/978-981-13-0277-0_13"},{"key":"e_1_3_3_2_3_2","doi-asserted-by":"crossref","unstructured":"Y. Bengio P. Lamblin D. Popovici and H. Larochelle. 2007. Greedy layer-wise training of deep networks. Advances in Neural Information Processing Systems (2007) 153\u2013160.","DOI":"10.7551\/mitpress\/7503.003.0024"},{"key":"e_1_3_3_2_4_2","doi-asserted-by":"crossref","unstructured":"R.\u00a0M. Bozinovic and S.\u00a0N. Srihari. 1989. Off-line cursive script word recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 11 1 (1989) 68\u201383.","DOI":"10.1109\/34.23114"},{"key":"e_1_3_3_2_5_2","doi-asserted-by":"crossref","unstructured":"A. Broumandnia J. Shanbehzadeh and M.\u00a0R. Varnoosfaderani. 2008. Persian\/arabic handwritten word recognition using m-band packet wavelet transform. Image and Vision Computing 26 6 (2008) 829\u2013842.","DOI":"10.1016\/j.imavis.2007.09.004"},{"key":"e_1_3_3_2_6_2","doi-asserted-by":"crossref","unstructured":"A.\u00a0M.\u00a0S. Chowdhury and M.\u00a0S. Rahman. 2016. Towards optimal convolutional neural network parameters for Bengali handwritten numerals recognition. Proceedings of the 19th International Conference on Computer and Information Technology (ICCIT) Dhaka (December 2016) 431\u2013436.","DOI":"10.1109\/ICCITECHN.2016.7860237"},{"key":"e_1_3_3_2_7_2","doi-asserted-by":"crossref","unstructured":"M. Dehghan K. Faez M. Ahmadi and M. Shridhar. 2001. Handwritten Farsi (Arabic) word recognition: A holistic approach using discrete HMM. Pattern Recognition 34 5 (2001) 1057\u20131065.","DOI":"10.1016\/S0031-3203(00)00051-0"},{"key":"e_1_3_3_2_8_2","unstructured":"I. Goodfellow J. Pouget-Abadie M. Mirza B. Xu D. Warde-Farley S. Ozair and Y. Bengio. 2014. Generative adversarial nets. Advances in neural information processing systems (2014) 2672\u20132680."},{"key":"e_1_3_3_2_9_2","unstructured":"A. Krizhevsky I. Sutskever and G.\u00a0E. Hinton. 2012. Imagenet classification with deep convolutional neural networks. Advances in Neural Information Processing Systems (2012) 1097\u20131105."},{"key":"e_1_3_3_2_10_2","unstructured":"Y. LeCun L. Jackel L. Bottou A. Brunot C. Cortes J. Denker H. Drucker I. Guyon U. Muller and E. Sackinger. 1995. Comparison of learning algorithms for handwritten digit recognition. International Conference on Artificial Neural Networks 60 (1995) 53\u201360."},{"key":"e_1_3_3_2_11_2","unstructured":"A. Odena. 2016. Semi-supervised learning with generative adversarial networks. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1606.01583 (2016)."},{"key":"e_1_3_3_2_12_2","unstructured":"H. Park Y. Yoo and N. Kwak. 2019. MC-GAN: Multi-conditional generative adversarial network for image synthesis. Proceedings of the British Machine Vision Conference (BMVC) (2019)."},{"key":"e_1_3_3_2_13_2","unstructured":"S. Reed Z. Akata X. Yan L. Logeswaran B. Schiele and H. Lee. 2016. Generative adversarial text to image synthesis. Proceedings of the 33rd International Conference on Machine Learning (ICML) 3 (2016) 1681\u20131690."},{"key":"e_1_3_3_2_14_2","unstructured":"P. Saha A. Ekbal and S. Bandyopadhyay. 2017. The development of the BanglaLekha isolated dataset for handwritten Bangla character recognition. Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition 1 (2017) 23\u201328."},{"key":"e_1_3_3_2_15_2","doi-asserted-by":"crossref","unstructured":"S.\u00a0N. Srihari X. Yang and G.\u00a0R. Ball. 2007. Offline Chinese handwriting recognition: An assessment of current technology. Frontiers of Computer Science in China 1 2 (2007) 137\u2013155.","DOI":"10.1007\/s11704-007-0015-2"},{"key":"e_1_3_3_2_16_2","doi-asserted-by":"crossref","unstructured":"T. Su. 2013. Chinese handwriting recognition: An algorithmic perspective. SpringerBriefs in Electrical and Computer Engineering (2013).","DOI":"10.1007\/978-3-642-31812-2"},{"key":"e_1_3_3_2_17_2","doi-asserted-by":"crossref","unstructured":"C. Szegedy W. Liu Y. Jia P. Sermanet S. Reed D. Anguelov D. Erhan V. Vanhoucke and A. Rabinovich. 2015. Going deeper with convolutions. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2015) 1\u20139.","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"e_1_3_3_2_18_2","doi-asserted-by":"crossref","unstructured":"K. Yue Y. Li and H. Li. 2019. Progressive semantic image synthesis via generative adversarial network. 2019 IEEE International Conference on Visual Communications and Image Processing (VCIP) (2019) 19\u201322.","DOI":"10.1109\/VCIP47243.2019.8966069"}],"event":{"name":"ICCA 2024: 3rd International Conference on Computing Advancements","acronym":"ICCA 2024","location":"Dhaka Bangladesh"},"container-title":["Proceedings of the 3rd International Conference on Computing Advancements"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3723178.3723229","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3723178.3723229","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:56:47Z","timestamp":1750298207000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3723178.3723229"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,17]]},"references-count":17,"alternative-id":["10.1145\/3723178.3723229","10.1145\/3723178"],"URL":"https:\/\/doi.org\/10.1145\/3723178.3723229","relation":{},"subject":[],"published":{"date-parts":[[2024,10,17]]},"assertion":[{"value":"2025-06-06","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}