{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T16:32:29Z","timestamp":1774369949155,"version":"3.50.1"},"reference-count":48,"publisher":"Tech Science Press","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["CMC"],"published-print":{"date-parts":[[2024]]},"DOI":"10.32604\/cmc.2024.049296","type":"journal-article","created":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T08:29:45Z","timestamp":1723019385000},"page":"2633-2656","source":"Crossref","is-referenced-by-count":7,"title":["Development of a Lightweight Model for Handwritten Dataset Recognition: Bangladeshi City Names in Bangla Script"],"prefix":"10.32604","volume":"80","author":[{"given":"Md. Mahbubur Rahman","family":"Tusher","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fahmid Al","family":"Farid","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Md.","family":"Al-Hasan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abu Saleh Musa","family":"Miah","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Susmita Roy","family":"Rinky","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mehedi Hasan","family":"Jim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sarina","family":"Mansor","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Md. Abdur","family":"Rahim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hezerul Abdul","family":"Karim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"17807","published-online":{"date-parts":[[2024]]},"reference":[{"key":"ref1","first-page":"495","author":"Safiya","year":"2022","journal-title":"Information and Communication Technology for Competitive Strategies (ICTCS 2021) ICT: Applications and Social Interfaces"},{"key":"ref2","series-title":"Intell. Syst. Appl.: Proc. 2021 Intell. Syst. Conf. (IntelliSys)","first-page":"135","article-title":"Global postal automation","volume":"3","author":"Vachon","year":"2022"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"975","DOI":"10.1007\/s11042-021-11425-7","article-title":"Handwritten english word recognition using a deep learning based object detection architecture","volume":"81","author":"Mondal","year":"2022","journal-title":"Multimed. Tools Appl."},{"key":"ref4","doi-asserted-by":"crossref","first-page":"142642","DOI":"10.1109\/ACCESS.2020.3012542","article-title":"Handwritten optical character recognition (OCR): A comprehensive systematic literature review (SLR)","volume":"8","author":"Memon","year":"2020","journal-title":"IEEE Access"},{"key":"ref5","series-title":"2019 22nd Int. Conf. Comput. Inf. Technol. (ICCIT)","first-page":"1","article-title":"Offline optical character recognition (OCR) method: An effective method for scanned documents","author":"Majumder","year":"2019"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1002\/9781119786122.ch5","author":"Kaur","year":"2021","journal-title":"Machine Vision Inspection Systems"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s42452-021-04742-x","article-title":"AHWR-Net: Offline handwritten amharic word recognition using convolutional recurrent neural network","volume":"3","author":"Abdurahman","year":"2021","journal-title":"SN Appl. Sci."},{"key":"ref8","doi-asserted-by":"crossref","first-page":"1794","DOI":"10.1049\/iet-ipr.2019.1398","article-title":"H-WordNet: A holistic convolutional neural network approach for handwritten word recognition","volume":"14","author":"Das","year":"2020","journal-title":"IET Image Process."},{"key":"ref9","doi-asserted-by":"crossref","first-page":"904","DOI":"10.3390\/electronics10080904","article-title":"Handwritten character recognition on android for basic education using convolutional neural network","volume":"10","author":"Zin","year":"2021","journal-title":"Electronics"},{"key":"ref10","series-title":"2021 Int. Conf. Sci. Contemp. Technol. (ICSCT)","first-page":"1","article-title":"Zilla-64: A bangla handwritten word dataset of 64 districtsname of Bangladesh and recognition using holistic approach","author":"Azad","year":"2021"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1007\/978-3-030-43823-4_35","author":"Audebert","year":"2020","journal-title":"Machine Learning and Knowledge Discovery in Databases: International Workshops of ECML PKDD 2019"},{"key":"ref12","article-title":"Imagenet classification with deep convolutional neural networks","volume":"25","author":"Krizhevsky","year":"2012","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref13","doi-asserted-by":"crossref","first-page":"100515","DOI":"10.1016\/j.cosrev.2022.100515","article-title":"Advances in online handwritten recognition in the last decades","volume":"46","author":"Ghosh","year":"2022","journal-title":"Comput. Sci. Rev."},{"key":"ref14","article-title":"Improvement in OCR Technologies in postal industry using CNN-RNN architecture: Literature review","volume":"12","author":"Verma","year":"2022","journal-title":"Int. J. Mach. Learn. Comput."},{"key":"ref15","first-page":"1","article-title":"Bagging: An ensemble approach for recognition of handwritten place names in gurumukhi script","volume":"22","author":"Kaur","year":"2023","journal-title":"ACM Trans. Asian Low Resour. Lang. Inf. Process."},{"key":"ref16","first-page":"45","article-title":"Off-line handwritten signature verification system: Artificial neural network approach","volume":"13","author":"Tahir","year":"2021","journal-title":"Int. J. Intell. Syst. Appl."},{"key":"ref17","doi-asserted-by":"crossref","unstructured":"D. Nurseitov, K. Bostanbekov, M. Kanatov, A. Alimova, A. Abdallah and G. Abdimanap, \u201cClassification of handwritten names of cities and handwritten text recognition using various deep learning models,\u201d arXiv preprint arXiv:2102.04816, 2021.","DOI":"10.25046\/aj0505114"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"4563","DOI":"10.32604\/cmc.2022.021102","article-title":"Convolutional neural network based intelligent handwritten document recognition","volume":"70","author":"Ghazal","year":"2022","journal-title":"Comput., Mater. Continua"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1007\/978-981-13-9361-7_14","author":"Kaur","year":"2019","journal-title":"Document Analysis and Recognition"},{"key":"ref20","series-title":"Int. Conf. Front. Handwriting Recognit.","article-title":"IfN\/Farsi-Database: A database of farsi handwritten city names","author":"Mozaffari","year":"2008"},{"key":"ref21","series-title":"Mobile Radio Commun. 5G Netw.: Proc. Second MRCN 2021","first-page":"267","article-title":"Analysis of the proposed CNN model for the recognition of Gurmukhi handwritten city names of Punjab","author":"Sharma","year":"2022"},{"key":"ref22","unstructured":"M. A. Mahjoub, N. Ghanmy, and I. Miled, \u201cMultiple models of Bayesian networks applied to offline recognition of Arabic handwritten city names,\u201d arXiv preprint arXiv:1301.4377, 2013."},{"key":"ref23","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2022\/6580839","article-title":"Optimized CNN-based recognition of district names of Punjab state in Gurmukhi script","volume":"2022","author":"Sharma","year":"2022","journal-title":"J. Math."},{"key":"ref24","series-title":"Proc. 5th Int. Conf. Front. Intell. Comput.: Theory Appl.","first-page":"343","article-title":"Bangla handwritten city name recognition using gradient-based feature","author":"Barua","year":"2017"},{"key":"ref25","series-title":"Comput. Vis. Image Process.: 5th Int. Conf.","first-page":"341","article-title":"Bengali place name recognition-comparative analysis using different CNN architectures","author":"Prasad","year":"2021"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"2075","DOI":"10.1007\/s10462-019-09727-2","article-title":"Performance evaluation of classifiers for the recognition of offline handwritten Gurmukhi characters and numerals: A study","volume":"53","author":"Kumar","year":"2020","journal-title":"Artif. Intell. Rev."},{"key":"ref27","series-title":"Comput. Intell., Commun., Bus. Anal.: First Int. Conf., CICBA 2017","first-page":"599","article-title":"Memetic algorithm based feature selection for handwritten city name recognition","author":"Ghosh","year":"2017"},{"key":"ref28","series-title":"Intell. Eng. Inform.: Proc. 6th Int. Conf. FICTA","first-page":"451","article-title":"Handwritten Bangla city name recognition using shape-context feature","author":"Sahoo","year":"2018"},{"key":"ref29","series-title":"2011 Int. Conf. Doc. Anal. Recognit.","first-page":"483","article-title":"Handwritten street name recognition for Indian postal automation","author":"Pal","year":"2011"},{"key":"ref30","series-title":"2012 Int. Conf. Front. Handwriting Recognit.","first-page":"169","article-title":"Multi-Lingual city name recognition for Indian postal automation","author":"Pal","year":"2012"},{"key":"ref31","doi-asserted-by":"crossref","first-page":"9329","DOI":"10.1007\/s00521-021-05693-5","article-title":"Handwritten Bangla city name word recognition using CNN-based transfer learning and FCN","volume":"33","author":"Pramanik","year":"2021","journal-title":"Neural Comput. Appl."},{"key":"ref32","doi-asserted-by":"crossref","first-page":"11501","DOI":"10.1007\/s11042-022-12193-8","article-title":"CNN based recognition of handwritten multilingual city names","volume":"81","author":"Roy","year":"2022","journal-title":"Multimed. Tools Appl."},{"key":"ref33","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11042-023-16137-8","article-title":"City name recognition for Indian postal automation: Exploring script dependent and independent approach","volume":"83","author":"Chatterjee","year":"2023","journal-title":"Multimed. Tools Appl."},{"key":"ref34","series-title":"2013 12th Int. Conf. Doc. Anal. Recognit.","first-page":"793","article-title":"Tamil handwritten city name database development and recognition for postal automation","author":"Thadchanamoorthy","year":"2013"},{"key":"ref35","series-title":"Artif. Intell.: Methodol., Syst., Appl.: 11th Int. Conf.","first-page":"331","article-title":"Rule based neural networks construction for handwritten Arabic city-names recognition","author":"Souici","year":"2004"},{"key":"ref36","unstructured":"M. Lin, Q. Chen, and S. Yan, \u201cNetwork in network,\u201d arXiv preprint arXiv:1312.4400, 2013."},{"key":"ref37","series-title":"Int. Conf. Machine Learn.","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"Ioffe","year":"2015"},{"key":"ref38","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"Srivastava","year":"2014","journal-title":"The J. Machine Learn. Res."},{"key":"ref39","author":"Bishop","year":"2006","journal-title":"Pattern Recognition and Machine Learning"},{"key":"ref40","series-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit.","first-page":"2818","article-title":"Rethinking the inception architecture for computer vision","author":"Szegedy","year":"2016"},{"key":"ref41","unstructured":"D. P. Kingma and J. Ba, \u201cAdam: A method for stochastic optimization,\u201d arXiv preprint arXiv:1412.6980, 2014."},{"key":"ref42","unstructured":"G. E. Hinton, N. Srivastava, A. Krizhevsky, I. Sutskever, and R. R. Salakhutdinov, \u201cImproving neural networks by preventing co-adaptation of feature detectors,\u201d arXiv preprint arXiv:1207.0580, 2012."},{"key":"ref43","unstructured":"K. Simonyan and A. Zisserman, \u201cVery deep convolutional networks for large-scale image recognition,\u201d arXiv preprint arXiv:1409.1556, 2014."},{"key":"ref44","series-title":"Int. Conf. Machine Learn., PMLR","first-page":"6105","article-title":"Efficientnet: Rethinking model scaling for convolutional neural networks","author":"Tan","year":"2019"},{"key":"ref45","series-title":"Proc. IEEE Conf. Comput. Vis.Pattern Recognit.","first-page":"770","article-title":"Deep residual learning for image recognition","author":"He","year":"2016"},{"key":"ref46","series-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit.","first-page":"1251","article-title":"Xception: Deep learning with depthwise separable convolutions","author":"Chollet","year":"2017"},{"key":"ref47","series-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit.","first-page":"4700","article-title":"Densely connected convolutional networks","author":"Huang","year":"2017"},{"key":"ref48","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1007\/s11263-015-0816-y","article-title":"Imagenet large scale visual recognition challenge","volume":"115","author":"Russakovsky","year":"2015","journal-title":"Int. J. Comput. Vis."}],"container-title":["Computers, Materials &amp; Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.techscience.com\/files\/cmc\/2024\/TSP_CMC-80-2\/TSP_CMC_49296\/TSP_CMC_49296.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,6]],"date-time":"2025-03-06T12:12:45Z","timestamp":1741263165000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v80n2\/57586"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":48,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2024]]},"published-print":{"date-parts":[[2024]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2024.049296","relation":{},"ISSN":["1546-2226"],"issn-type":[{"value":"1546-2226","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}