Feature learning and encoding for multi-script writer identification

A Semma, Y Hannad, I Siddiqi, S Lazrak… - International Journal on …, 2022 - Springer
Writer identification from handwriting samples has been an interesting research problem for
the pattern recognition community in general and handwriting recognition community in …

Multi-script writer identification using dissimilarity

D Bertolini, LS Oliveira… - 2016 23rd International …, 2016 - ieeexplore.ieee.org
Multi-script writer identification consists in identifying a person of a given text written in one
script from the samples of the same person written in another script. The rationale behind …

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 …

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 …

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 …

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 …

Combining local features for offline writer identification

R Jain, D Doermann - 2014 14th International Conference on …, 2014 - ieeexplore.ieee.org
Several powerful approaches have recently been proposed for writer identification, which
rely on local descriptors that capture the texture, shape and curvature properties of the …

Writer identification using machine learning approaches: a comprehensive review

A Rehman, S Naz, MI Razzak - Multimedia Tools and Applications, 2019 - Springer
Handwriting is one of the most common types of questioned writing encountered and
frequently attracts the attention in litigation. Contrary to the physiological characteristics …

Length independent writer identification based on the fusion of deep and hand-crafted descriptors

A Sulaiman, K Omar, MF Nasrudin, A Arram - IEEE Access, 2019 - ieeexplore.ieee.org
Writer's identification from a handwritten text is one of the most challenging machines
learning problems because of the variable handwritten sources, various languages, the …