Novel use of logistic regression and likelihood ratios for the estimation of gender of the writer from a database of handwriting features

Volume: 55, Issue: 1, Pages: 89 - 106
Published: Jul 29, 2021
Abstract
The present study focuses on the identification of individual characteristics in handwriting for the purpose of estimating the gender of the writer. A total of 150 individuals participated in the study and the relevant features were extracted from their handwriting. These characteristics were collectively studied and their potential of gender estimation was explored by utilizing statistical methods of chi-square test, logistic regression and...
Paper Details
Title
Novel use of logistic regression and likelihood ratios for the estimation of gender of the writer from a database of handwriting features
Published Date
Jul 29, 2021
Volume
55
Issue
1
Pages
89 - 106
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