<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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. <bold>As a whole, prediction solely depends upon the feature extraction</bold>. <bold>Distinct and most varied features make the classification accurate.</bold> 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.</p></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.

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

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Predicting gender on the foundation of handwriting investigation is a very invoking research area. Handwriting analysis also has numerous applications. It is...

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

Online veröffentlicht: 18. Juni 2019

Seitenbereich: 51 - 73

Eingereicht: 09. Dez. 2018

Akzeptiert: 02. Apr. 2019

DOI: https://doi.org/10.2478/cait-2019-0015

Schlüsselwörter
Handwriting recognition, gender, extraction, features, forensics

© 2019 Payal Maken et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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

Online veröffentlicht: 18. Juni 2019

Seitenbereich: 51 - 73

Eingereicht: 09. Dez. 2018

Akzeptiert: 02. Apr. 2019

DOI: https://doi.org/10.2478/cait-2019-0015

SchlüsselwörterHandwriting recognition, gender, extraction, features, forensics

© 2019 Payal Maken et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Handwriting recognition, gender, extraction, features, forensics