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CompoundDenseNet: a novel approach for accurate recognition of Bangla handwritten compound characters.

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第一作者： Nazia,Alfaz

第一单位： Department of Computer Science, American International University-Bangladesh (AIUB), Dhaka, Bangladesh.

作者： Nazia,Alfaz ^[1] ; Talha Bin,Sarwar ^[1] ; Fahmid Al,Farid ^[2] ; Md Saef Ullah,Miah ^[1] ; Sadia,Afrin ^[1] ; Shakila,Rahman ^[1] ; Jia,Uddin ^[3] ; Hezerul Bin,Abdul Karim ^[4]

作者单位： Department of Computer Science, American International University-Bangladesh (AIUB), Dhaka, Bangladesh. ^[1] Faculty of Computer Science and Informatics Berlin School of Business and Innovation, Berlin, Germany.;Centre for Image and Vision Computing (CIVC), Centre of Excellence for Artificial Intelligence, Faculty of Artificial Intelligence and Engineering (FAIE), Multimedia University, Cyberjaya, Selangor, Malaysia. ^[2] Department of AI and Big Data, Endicott College, Woosong University, Daejeon, Republic of Korea. ^[3] Centre for Image and Vision Computing (CIVC), Centre of Excellence for Artificial Intelligence, Faculty of Artificial Intelligence and Engineering (FAIE), Multimedia University, Cyberjaya, Selangor, Malaysia. ^[4]

关键词 Adaptive Gradient Algorithm (Adagrad)Adaptive Moment Estimation (Adam)Bangla handwritten compound character BanglaLekha-Isolated CMATERdb Dense Convolutional Neural Network (DenseNet)Ekush Optical Character Recognition (OCR)

DOI 10.3389/frai.2026.1751148

PMID 42064035

发布时间 2026-05-01

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CompoundDenseNet: a novel approach for accurate recognition of Bangla handwritten compound characters.

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CompoundDenseNet: a novel approach for accurate recognition of Bangla handwritten compound characters.

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