Automatic visual features for writer identification: a deep learning approach

A Rehman, S Naz, MI Razzak, IA Hameed - IEEE access, 2019 - ieeexplore.ieee.org
Identification of a person from his writing is one of the challenging problems; however, it is
not new. No one can repudiate its applications in a number of domains, such as forensic …

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 …

Segmentation-free writer identification based on convolutional neural network

P Kumar, A Sharma - Computers & Electrical Engineering, 2020 - Elsevier
Handwriting recognition is one of the desired aspects of document understanding and
analysis. It deals with the writing style of the document and learns the features which …

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 …

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 …

Fragnet: Writer identification using deep fragment networks

S He, L Schomaker - IEEE Transactions on Information …, 2020 - ieeexplore.ieee.org
Writer identification based on a small amount of text is a challenging problem. In this paper,
we propose a new benchmark study for writer identification based on word or text block …

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 …

GR-RNN: Global-context residual recurrent neural networks for writer identification

S He, L Schomaker - Pattern Recognition, 2021 - Elsevier
This paper presents an end-to-end neural network system to identify writers through
handwritten word images, which jointly integrates global-context information and a …

Text-independent writer identification via CNN features and joint Bayesian

Y Tang, X Wu - … 15th International Conference on Frontiers in …, 2016 - ieeexplore.ieee.org
This paper proposes a novel method for offline text-independent writer identification by
using convolutional neural network (CNN) and joint Bayesian, which consists of two stages …

Deepwriter: A multi-stream deep CNN for text-independent writer identification

L Xing, Y Qiao - 2016 15th international conference on frontiers …, 2016 - ieeexplore.ieee.org
Text-independent writer identification is challenging due to the huge variation of written
contents and the ambiguous written styles of different writers. This paper proposes …