End-To-end evaluation of deep learning architectures for off-line handwriting writer identification: A comparative study

W Suteddy, DAR Agustini, A Adiwilaga… - JOIV: International Journal …, 2023 - joiv.org
Identifying writers using their handwriting is particularly challenging for a machine, given that
a person’ s writing can serve as their distinguishing characteristic. The process of …

Deep neural networks-based offline writer identification using heterogeneous handwriting data: an evaluation via a novel standard dataset

SNM Khosroshahi, SN Razavi, AB Sangar… - Journal of Ambient …, 2022 - Springer
In modern societies, handwritten identification is a great practical need and challenge for
forensic sciences. Moreover, few research studies have focused on automatic offline …

A comparative study of machine learning approaches for handwriter identification

A Durou, S Al-Maadeed, I Aref… - 2019 IEEE 12th …, 2019 - ieeexplore.ieee.org
During the past few years, writer identification has attracted significant interest due to its real-
life applications including document analysis, forensics etc. Machine learning algorithms …

Writer identification using deep learning with fast keypoints and harris corner detector

A Semma, Y Hannad, I Siddiqi, C Djeddi… - Expert Systems with …, 2021 - Elsevier
Writer identification from offline images of handwriting is an interesting pattern classification
problem that has been investigated for many decades now. Despite significant research …

An effective DeepWINet CNN model for off-line text-independent writer identification

A Chahi, Y El-Merabet, Y Ruichek… - Pattern Analysis and …, 2023 - Springer
Writer identification based on handwriting recognition is considered one of the most
common research areas in pattern recognition and biometrics. It has attracted much …

A deep learning framework for text-independent writer identification

M Javidi, M Jampour - Engineering Applications of Artificial Intelligence, 2020 - Elsevier
Abstract Handwriting Writer Identification (HWI) refers to the process of handwriting text
image analysis to identify the authorship of the documents. It has yielded promising results …

A multi-patch deep learning system for text-independent writer identification

D Liang, M Wu - Security, Privacy, and Anonymity in Computation …, 2021 - Springer
Offline handwriting identification is widely used in many fields of modern society, such as
judicial authentication, identity verification, ancient manuscripts, etc. Compared with …

WriterINet: a multi-path deep CNN for offline text-independent writer identification

A Chahi, Y El Merabet, Y Ruichek… - International Journal on …, 2023 - Springer
Handwriting-based identification is a fundamental pattern recognition problem that has
attracted considerable interest in recent years. Writer identification is a major challenge …

Text-independent writer identification using convolutional neural network

HT Nguyen, CT Nguyen, T Ino, B Indurkhya… - Pattern Recognition …, 2019 - Elsevier
The text-independent approach to writer identification does not require the writer to write
some predetermined text. Previous research on text-independent writer identification has …

DeepNet-WI: a deep-net model for offline Urdu writer identification

ST Nabi, M Kumar, P Singh - Evolving Systems, 2023 - Springer
Since the dawn of civilization, handwriting has been one of the most important forms of
communication. However, as handwriting differs from person to person, writer identification …