Bangali Handwritten characters classification using Deep Convolutional Neural Network

Bangali Handwritten characters classification using Deep Convolutional Neural Network

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Bibliografiske detaljer
Main Authors:	Sikder, Shihab Uddin, Muslebeen, Md. Shafiul
Andre forfattere:	Karim, Dewan Ziaul
Format:	Thesis
Sprog:	en_US
Udgivet:	Brac University 2022
Fag:	Deep learning CNN Bangali characters Image processing DCNN Handwritten character recognition Bengali letters Bengali compound characters. Deep learning (Machine learning) Neural network. Neural networks (Computer science)
Online adgang:	http://hdl.handle.net/10361/17653

Lignende værker

Isolated bangla handwritten character & digit recognition using convolutional neural network
af: Alif, Mujadded Al Rabbani, et al.
Udgivet: (2018)

Handwritten character recognition using neural network
af: Hussain, Shoumin Rafsun, et al.
Udgivet: (2021)

A squeeze and excitation ResNeXt-based deep learning model for Bangla handwritten basic to compound character recognition
af: Khan, Mohammad Meraj
Udgivet: (2022)

An Analysis on Bengali handwritten conjunct character recognition and prediction
af: Munawar, Maazin, et al.
Udgivet: (2021)

A Comparative study on Bengali handwritten character recognition and prediction using CNN
af: Abrar, Muntaqa, et al.
Udgivet: (2021)

Detection of handwritten text using convolutional neural network
af: Jasim, Rabib Bin, et al.
Udgivet: (2024)

Grouping of handwritten Bangla basic characters, numerals and vowel modifiers for multilayer classification
af: Reza, Khondker Nayef, et al.
Udgivet: (2017)

Segmentation of Bangla compound characters: underlying simple character detection from handwritten compound characters
af: Bhuiyan, Md Raihanul Islam, et al.
Udgivet: (2024)

Enhancing optical character recognition capabilities for Bengali script: the development and evaluation of Bengali CharNet
af: Kamal, Rizvy Ahmed
Udgivet: (2024)

KDANet: optical recognition for Bangla language using deep neural networks
af: Rabbi, Kazi Kamruzzaman, et al.
Udgivet: (2023)

Skin cancer detection and classification using multiple optimized deep convolutional neural network
af: Sakir, Adnan, et al.
Udgivet: (2023)

Early Schizophrenia Diagnosis with 3D Convolutional Neural Network
af: Ashraf, S.M. Nabil, et al.
Udgivet: (2021)

Classification of peripheral blood cell images using deep learning
af: Aadi, Oyshik Ahmed, et al.
Udgivet: (2024)

Visual object classification from fMRI data
af: Newaz, Syed Mishar, et al.
Udgivet: (2022)

Visual object recognition using deep convolutional neural network
af: Ahmed, Sabbir
Udgivet: (2017)

Corn leaf disease detection using deep convolution neural network
af: Rabbi, Rawhatur, et al.
Udgivet: (2023)

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
af: Ferdous, Md.Rubaiat, et al.
Udgivet: (2024)

Affordable voice assistive intelligent glass for visually impaired people in perspective of Bangladesh
af: Peyal, Md. Mahmudul Kabir, et al.
Udgivet: (2021)

Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
af: Datta, Nirjhor, et al.
Udgivet: (2024)

Pneumonia Disease detection using the convolutional neural network
af: Ashrafee, Md. Iftid, et al.
Udgivet: (2024)

Comprehensive analysis and development of deep learning models for Bengali character’s spectrogram image classification in child speech: introduction of spectro SETNet
af: Ahmed, Syed Istiaque, et al.
Udgivet: (2024)

ProteoKnight: phage virion protein classification with CNN and uncertainty quantification
af: Bhuiyan, Abir Ahammed, et al.
Udgivet: (2024)

Cassava leaf disease classification using deep learning and convolutional neural network ensemble
af: Shahriar, Hasan, et al.
Udgivet: (2022)

Diabetic retinopathy detection and classification by using deep learning
af: Hossain, Shahriar, et al.
Udgivet: (2022)

BanglaBait: using transformers, neural networks & statistical classifiers to detect clickbaits in New Bangla Clickbait Dataset
af: Mahtab, Motahar, et al.
Udgivet: (2022)

Analysis of uncertainty in different neural network structures using monte carlo dropout
af: Islam, Md. Farhadul, et al.
Udgivet: (2024)

Epileptic seizure prediction using bandpass filtering and convolutional neural network
af: Rahman, Tasnia, et al.
Udgivet: (2022)

Analysis of transformer and CNN based approaches for classifying renal abnormality from image data
af: Reza, S. M. Mushfiq, et al.
Udgivet: (2024)

Analysis of real-time hostile activitiy detection from spatiotemporal features using time distributed deep convolutional neural networks, recurrent neural networks and attention-based mechanisms
af: Siddique, Labib Ahmed, et al.
Udgivet: (2022)

An efficient deep learning approach to detect skin Cancer
af: Islam, Ashfaqul, et al.
Udgivet: (2022)

Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
af: Choudhury, Prionto Kumar, et al.
Udgivet: (2024)

Cancer classification using deep learning from medical image data
af: Monir, Raiyan Janik, et al.
Udgivet: (2022)

Analysis of uncertainty in different neural network structures using Monte Carlo Dropout
af: Islam, Md. Farhadul, et al.
Udgivet: (2024)

Brain tumor detection with convolutional neural network
af: Galib, Abrar Tahmid, et al.
Udgivet: (2024)

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
af: Ifty, Md. Hasin Sarwar, et al.
Udgivet: (2024)

An efficient deep learning approach for brain tumor detection using 3D convolutional neural network
af: Ali, Syed Muaz
Udgivet: (2023)

Quantum error correction using quantum convolutional neural network
af: Mishu, Niloy Deb Roy, et al.
Udgivet: (2021)

Classification of different magnetic structures from image data using deep neural networks
af: Ibn Hasib, Fahad, et al.
Udgivet: (2023)

An efficient approach for binary classification in brain tumor detection using convolutional neural network
af: Islam, MD. Arman, et al.
Udgivet: (2023)

An efficient deep learning approach to detect skin cancer using image data
af: Chowdhury, Yaser Al Rahman, et al.
Udgivet: (2023)