DT2F-TLNet: A novel text-independent writer identification and verification model using a combination of deep type-2 fuzzy architecture and Transfer Learning …

J Yang, M Shokouhifar, L Yee, AA Khan… - Expert Systems with …, 2024 - Elsevier
Identifying and verifying the identity of people based on scanned images of handwritten
documents is an applicable biometric modality with applications in forensic and historic …

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 …

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 …

Offline writer identification using deep feature concatenation

P Afzali, A Rezapour… - Journal of Intelligent & …, 2023 - content.iospress.com
Handwriting is an individual trait that serves as evidence to authenticate a particular writer.
Identifying the writer of a handwritten text has shown encouraging results in examining …

Writer Identification from Offline Handwriting Images in Urdu Script with Dense-Net: A Deep Learning Approach

ST Nabi, P Singh, M Kumar - 2023 14th International …, 2023 - ieeexplore.ieee.org
Handwriting serves as a valuable tool in various organizational processes, such as
recruitment, interviewing, team-building, counseling, and career planning. Even identical …

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 …

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 …

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 …

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 …

An End-to-End deep learning system for writer identification in handwritten Arabic manuscripts

M Chammas, A Makhoul, J Demerjian… - Multimedia Tools and …, 2023 - Springer
The extraction of paleographical features is an important task to study the identity of the text
in the Historical Manuscripts. One of the major features is the identification of the writer or …