Detection of handwritten text using convolutional neural network

Detection of handwritten text using convolutional neural network

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.

Bibliografiske detaljer
Main Authors:	Jasim, Rabib Bin, Mahin, Rokeya Sultana
Andre forfattere:	Uddin, Jia
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2024
Fag:	Convolutional neural network Machine learning Text-line extraction Deep learning Neural networks (Computer science) Data mining
Online adgang:	http://hdl.handle.net/10361/23084

Lignende værker

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

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

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

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

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

Bangali Handwritten characters classification using Deep Convolutional Neural Network
af: Sikder, Shihab Uddin, et al.
Udgivet: (2022)

An efficient deep learning approach to classify white blood cells
af: Turja, Afif Ibna Kadir Khan, et al.
Udgivet: (2024)

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

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

Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet
af: Ishrak, Gazi Hasin, et al.
Udgivet: (2022)

Plant disease detection using convolutional neural network
af: Hossain, Mohammad Shifat, et al.
Udgivet: (2021)

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

Detection of skin cancer using Convolutional neural network
af: Ahsan, Abu Sa-adat Mohamed Moon-Im Al, et al.
Udgivet: (2020)

Tomato leaf disease detection using convolutional neural network
af: Hasan, Md. Riazul, et al.
Udgivet: (2023)

End to end Bangla handwritten and scene text detection using convolutional neural network
af: Mahal, Somania Nur, et al.
Udgivet: (2018)

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

Silent voice: harnessing deep learning for lip-reading in Bangla
af: Shaheen, Munia, 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)

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

Bangla text classification using machine learning and deep learning techniques
af: Salehin, Kamrus, et al.
Udgivet: (2021)

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

Emotion recognition from facial expression of autism spectrum disordered children using image processing and machine learning algorithms
af: Tasnim, Nishat, et al.
Udgivet: (2019)

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

Smoke detection using deep Convolutional neural network
af: Niloy, Wahidul Hasan, et al.
Udgivet: (2021)

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)

Crime scene prediction by detecting threatening objects using convolutional neural network
af: Nakib, Mohammad, et al.
Udgivet: (2017)

Anti-aliasing for real-time applications in 3D using deep convolutional neural network
af: Siam, F. M. Jamius, et al.
Udgivet: (2021)

A deep learning approach for prediction of ADHD using brain structure
af: Siam, Shafin Ahad, et al.
Udgivet: (2024)

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

Intracranial hemorrhage detection using CNN-LSTM fusion model
af: Ahmed, Kazi sabab, et al.
Udgivet: (2022)

Deep learning based early Glaucoma detection
af: Islam, Aabrar, et al.
Udgivet: (2024)

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

Leveraging sequential deep learning models for detecting multitude of human action categories
af: Pranta, Kazi Al Refat, et al.
Udgivet: (2024)

Aspect based opinion mining on restaurant reviews
af: Tonmoy, Sazid Hasan, et al.
Udgivet: (2024)

Detection of intracranial hemorrhage on CT scan images using convolutional neural network
af: Rahman, Afridi Ibn, et al.
Udgivet: (2022)

Classiﬁcation of damaged vegetation areas using convolutional neural network over satellite images
af: Haque, Samiha, et al.
Udgivet: (2021)

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

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

Efficient image processing and machine learning approach for predicting retinal diseases
af: Hasib, Mehadi Hasan, et al.
Udgivet: (2021)

Detecting Deepfake images using deep convolutional neural network
af: Dhar, Arpita, et al.
Udgivet: (2022)