Review of age and gender detection methods based on handwriting analysis

F Alaei, A Alaei - Neural Computing and Applications, 2023 - Springer
Handwriting recognition and analysis has been an active area of research in the last two
decades. Handwriting analysis is being studied in various fields of science, such as …

Gender prediction system through behavioral biometric handwriting: a comprehensive review

M Sethi, M Kumar, MK **dal - Soft Computing, 2023 - Springer
Identification of a person on the basis of different characteristics is a prevailing area of
research. Both behavioral biometrics and physical biometrics are used as measures to …

Gender classification from offline multi-script handwriting images using oriented Basic Image Features (oBIFs)

A Gattal, C Djeddi, I Siddiqi, Y Chibani - Expert Systems With Applications, 2018 - Elsevier
Classification of gender from images of handwriting is an interesting research problem in
computerized analysis of handwriting. The correlation between handwriting and gender of …

A method for automatic classification of gender based on text-independent handwriting

P Maken, A Gupta - Multimedia Tools and Applications, 2021 - Springer
Handwriting recognition is used for the prediction of various demographic traits such as age,
gender, nationality, etc. Out of all the applications gender prediction is mainly admired topic …

Gender and handedness prediction from offline handwriting using convolutional neural networks

Á Morera, Á Sánchez, JF Vélez, AB Moreno - Complexity, 2018 - Wiley Online Library
Demographic handwriting‐based classification problems, such as gender and handedness
categorizations, present interesting applications in disciplines like Forensic Biometrics. This …

Handwriting-based gender and handedness classification using convolutional neural networks

M Rahmanian, MA Shayegan - Multimedia Tools and Applications, 2021 - Springer
Demographical handwritings classification has many applications in various disciplines
such as biometrics forensics, psychology, archeology, etc. Finding the best features for …

Binarization of degraded document images using convolutional neural networks and wavelet-based multichannel images

Y Akbari, S Al-Maadeed, K Adam - IEEE Access, 2020 - ieeexplore.ieee.org
Convolutional neural networks (CNNs) have previously been broadly utilized to binarize
document images. These methods have problems when faced with degraded historical …

Automatic gender and age classification from offline handwriting with bilinear ResNet

I Rabaev, I Alkoran, O Wattad, M Litvak - Sensors, 2022 - mdpi.com
This work focuses on automatic gender and age prediction tasks from handwritten
documents. This problem is of interest in a variety of fields, such as historical document …

Novel features to detect gender from handwritten documents

ALQ Najla, M Khayyat, CY Suen - Pattern Recognition Letters, 2023 - Elsevier
Gender detection from handwritten documents is a crucial research area in many disciplines
such as psychology, pyelography, graphology, and forensic analysis. Furthermore, this task …

Handwriting based gender classification using cold and hinge features

A Gattal, C Djeddi, A Bensefia, A Ennaji - … , June 4–6, 2020, Proceedings 9, 2020 - Springer
Gender Classification from handwriting is still considered to be challenging due to
homogeneous vision comparing male and female handwritten documents. This paper …