Review of age and gender detection methods based on handwriting analysis
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 …
decades. Handwriting analysis is being studied in various fields of science, such as …
Gender prediction system through behavioral biometric handwriting: a comprehensive review
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 …
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 …
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 …
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 …
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
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 …
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 …
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
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 …
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 …
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
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 …
became more challenging when one has to identify gender, age, and handedness of the …