A Study on Various Techniques Involved in Gender Prediction System: A Comprehensive Review

Payal Maken; Abhishek Gupta; Manoj Kumar Gupta

doi:10.2478/cait-2019-0015

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A Study on Various Techniques Involved in Gender Prediction System: A Comprehensive Review

Cybernetics and Information Technologies

Volume 19 (2019): Issue 2 (June 2019)

By: Payal Maken, Abhishek Gupta and Manoj Kumar Gupta

Open Access

|Jun 2019

Abstract

Predicting gender on the foundation of handwriting investigation is a very invoking research area. Handwriting analysis also has numerous applications. It is useful for forensic experts to investigate classes of writers. This prediction is executed fundamentally by two steps: feature extraction and classification. As a whole, prediction solely depends upon the feature extraction. Distinct and most varied features make the classification accurate. This paper describes the problem comprehensively along with its foundation. It presents a survey of the available methods to solve the discussed problem. A comparative analysis of the discussed methods of feature extraction and classification along with the available databases is also presented in this paper.

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Articles in this issue

DOI: https://doi.org/10.2478/cait-2019-0015 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702

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Language: English

Page range: 51 - 73

Submitted on: Dec 9, 2018

Accepted on: Apr 2, 2019

Published on: Jun 18, 2019

Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

Handwriting recognition,

gender,

Related subjects:

Information technology

© 2019 Payal Maken, Abhishek Gupta, Manoj Kumar Gupta, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 19 (2019): Issue 2 (June 2019)