Verifying online signatures through an iterative device independent model

Verifying online signatures through an iterative device independent model

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Bibliographic Details
Main Authors:	Tahsin, Samiha, Molla, Robin, Jamal, Omran
Other Authors:	Islam, Md Saiful
Format:	Thesis
Language:	English
Published:	Brac University 2024
Subjects:	Signature verification e-Signature Machine learning Pattern perception > Data processing Pattern perception Deep learning (Machine learning)
Online Access:	http://hdl.handle.net/10361/22849

Similar Items

Pattern recognition and machine learning /
by: Bishop, Christopher M.
Published: (2006)

Kernel methods for pattern analysis /
by: Shawe-Taylor, John
Published: (2004)

Phase Transitions in Machine Learning
by: Lorenza Saitta, Attilio Giordana, Antoine Cornuéjols
Published: (2012)

Study on human emotion based on facial expressions through human machine communication
by: Murshed, Tahmin Aysha, et al.
Published: (2021)

Scaling Up Machine Learning
by: Edited by Ron Bekkerman, Mikhail Bilenko, John Langford
Published: (2012)

A framework for sentiment analysis: a data-driven approach
by: Islam, Md. Jahedul, et al.
Published: (2021)

Gene classification and pattern analysis using data mining and machine learning techniques
by: Ramisa, Aiman Jabeen, et al.
Published: (2021)

Understanding machine learning : from theory to algorithms /
by: Shalev-Shwartz, Shai
Published: (2014)

Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
by: Toufique, S.M, et al.
Published: (2024)

Blockchain based e-voting system with homomorphic encryption and threshold signature
by: Probor, Mushfique Nasir, et al.
Published: (2023)

Financial factors analysis for acquisition premium and anticipation using extreme gradient boosting and deep recurrent neural network
by: Rayhan, Mohammad, et al.
Published: (2020)

Analysis of the impact of online education using EEG signals and machine learning algorithms
by: Hoque, Ehsanul, et al.
Published: (2021)

Application of CNN based architectures in detection of distracted drivers
by: Arafin, Irfana, et al.
Published: (2023)

Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
by: Hasan, M. M. Kamrul, et al.
Published: (2022)

Deep learning approaches for Bengali cyberbullying cetection on social media: a comparative study of BiLSTM, BiGRU and BERT models
by: Fahim, Kaji Mehedi Hasan, et al.
Published: (2024)

Empowering mobile network planning through deep learning: a path to democratization
by: Nabi, Syed Tauhidun
Published: (2024)

An implementation and analysis of deep learning models for the detection of wheat diseases
by: Zubair, Ahmad, et al.
Published: (2024)

Real-time foul detection in football matches using machine learning techniques
by: Siddiqui, Bishal Sadi, et al.
Published: (2024)

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

Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
by: Islam, Roman, et al.
Published: (2024)

Comparative analysis and implementation of credit risk prediction through distinct machine learning models
by: Turjo, Aquib Abtahi, et al.
Published: (2021)

A conventional & deep learning strategy for analyzing & detecting Bengali fake news in online medium
by: Ahmed, Istiak, et al.
Published: (2023)

Predicting the outcome of purchasing a hotel package to assist policymakers using machine learning
by: Islam, Zahedul, et al.
Published: (2023)

Detecting self-esteem level and depressive indication due to different parenting style using supervised learning techniques
by: Al Taawab, Abdullah, et al.
Published: (2022)

A modern technique to detect potholes by Computer Vision and Deep Learning
by: Saif, Muntasir Mahmud, et al.
Published: (2023)

Heart disease prediction using machine learning algorithms
by: Ali, Musfiq, et al.
Published: (2019)

Multimodal human detection in disaster situations using deep learning & artificial intelligence
by: Rafat, Md. Tasbi, et al.
Published: (2023)

Handwritten Bangla character recognition to braille pattern conversion using image processing and machine learning
by: Abir, Tawhidur Rahman, et al.
Published: (2019)

Real-time mastitis detection in livestock using deep learning and machine learning leveraging edge devices
by: Ghosh, Kawshik Kumar, et al.
Published: (2023)

A deep dive into node-level analysis with fusion RNN model for smart LTE network monitoring
by: Islam, Md Rashidul
Published: (2024)

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

Prostate cancer detection using deep learning neural network with transfer learning approach
by: Badhon, Ariful Islam Mahmud, et al.
Published: (2022)

Supervising vehicle using pattern recognition
by: Lushan, Mihodi Hasan, et al.
Published: (2018)

Categorization of human monkey-pox from skin lesion images based on transformer and ensemble learning using GRADCAM
by: Hassan, Ibne, et al.
Published: (2023)

Machine learning as an indicator for breast cancer prediction
by: Shadman, Tahsin Mohammed, et al.
Published: (2019)

Hypothesizing precise cancer treatments based on patient survival using machine learning & deep learning
by: Sakib, Hasibul, et al.
Published: (2024)

Tiny-ML based person identification in dynamic motion
by: Ahmed, Mirza Raiyan, et al.
Published: (2024)

Smart companion agent for mental well-being through Deep Learning and NLP
by: Khan, Rafiur, et al.
Published: (2021)

Public vehicle ETA system using machine learning
by: Kabir, Md. Miraz, et al.
Published: (2018)

Predicting depression in Bangladeshi undergraduates using machine learning
by: Choudhury, Ahnaf Atef, et al.
Published: (2019)