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 …

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 …

Writer identification system for indic and non-indic scripts: State-of-the-art survey

S Dargan, M Kumar - Archives of Computational Methods in Engineering, 2019 - Springer
Writer identification is a challenging move in the field of pattern recognition and reflects
advanced perceptions into the handwriting research. It is the process of determining the …

[HTML][HTML] Visualization of customized convolutional neural network for natural language recognition

TP Singh, S Gupta, M Garg, D Gupta, A Alharbi… - Sensors, 2022 - mdpi.com
For analytical approach-based word recognition techniques, the task of segmenting the
word into individual characters is a big challenge, specifically for cursive handwriting. For …

Age, gender and handedness prediction using handwritten text: A comprehensive survey

C Singla, R Maini, M Kumar - Engineering Applications of Artificial …, 2024 - Elsevier
Handwriting recognition is widely acknowledged as one of the most challenging tasks in
pattern recognition and machine learning. This study explores the intriguing field of age …

Forged document detection and writer identification through unsupervised deep learning approach

P Tyagi, K Agarwal, G Jaiswal, A Sharma… - Multimedia Tools and …, 2024 - Springer
In recent years, there has been a significant increase in document forgery, which includes
the fraudulent replication of currency, diplomas, and works of art. This has become a major …

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 …

Gender classification based on handwriting using Gurmukhi characters and hybrid feature extraction techniques

C Singla, R Maini, M Kumar - Multimedia Tools and Applications, 2024 - Springer
Gender classification using one or more features has emerged as a promising solution to
issues in fields such as criminal and forensic examinations. However, predicting an …

Transfer and Deep Learning‐Based Gurmukhi Handwritten Word Classification Model

TP Singh, S Gupta, M Garg, A Verma… - Mathematical …, 2023 - Wiley Online Library
The world is having a vast collection of text with abandon of knowledge. However, it is a
difficult and time‐taking process to manually read and recognize the text written in numerous …

Personality Prediction and Handwriting Recognition Using Machine Learning

V Patil, H Mathur - … for Healthcare: Internet of Things and Deep …, 2021 - Wiley Online Library
Personality analysis and identification of writer depend on handwriting samples that were in
place of graphologist online tool that can be useful. Graphology is the subconscious thinking …