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 Jindal - 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 …

A multi-feature selection approach for gender identification of handwriting based on kernel mutual information

N Bi, CY Suen, N Nobile, J Tan - Pattern Recognition Letters, 2019 - Elsevier
This paper presents a new flexible approach to predict the gender of the writers from their
handwriting samples. Handwriting features like slant, curvature, line separation, chain code …

ATP-DenseNet: a hybrid deep learning-based gender identification of handwriting

G Xue, S Liu, D Gong, Y Ma - Neural Computing and Applications, 2021 - Springer
Digital forensics has a vital effect in several domains and mainly focuses on reactive
measures, especially when facing digital incidents. Gender identification becomes the …

A bitcoin model for evaluation of clustering to improve propagation delay in bitcoin network

M Fadhil, G Owenson, M Adda - 2016 IEEE intl conference on …, 2016 - ieeexplore.ieee.org
Bitcoin is a digital currency based on peer-to-peer network to propagate and verify
transactions. Bitcoin differs from traditional currencies in that, it does not rely on a centralised …

Behavioral biometric data analysis for gender classification using feature fusion and machine learning

SS Gornale, S Kumar, A Patil… - Frontiers in Robotics and …, 2021 - frontiersin.org
Biometric security applications have been employed for providing a higher security in
several access control systems during the past few years. The handwritten signature is the …

Adaptive multi-gradient kernels for handwritting based gender identification

BJ Navya, P Shivakumara, GC Shwetha… - … on Frontiers in …, 2018 - ieeexplore.ieee.org
Handwriting based Gender identification is challenging due to unconstrained handwriting
and individual differences in writing. To solve this problem, we propose a new adaptive multi …

Classification of handwritten text signatures by person and gender: a comparative study of transfer learning methods

S Agduk, E Aydemir - Acta Informatica Pragensia, 2022 - ceeol.com
The writing process, in which feelings and thoughts are expressed in writing, differs from
person to person. Handwriting samples, which are very easy to obtain, are frequently used …

Multi-gradient directional features for gender identification

BJ Navya, GC Swetha, P Shivakumara… - 2018 24th …, 2018 - ieeexplore.ieee.org
Gender identification based on handwriting analysis has received a special attention to
researchers in the field of document image analysis as it is useful for several real-time …

Feature extraction techniques for gender classification based on handwritten text: a critical review

M Sethi, MK Jindal, M Kumar - … of International Conference on Frontiers in …, 2022 - Springer
Features of the handwritten text play a vital role in the area of handwriting identification. It
became more challenging when one has to identify gender, age, and handedness of the …