A Survey Paper on Gender Classification using Deep Learning

Authors(2) :-Brijesh Patel, Dr. Sheshang Degadawala

With technological advancements many small to large, simple to complex activities are automated. Growth of Artificial Intelligent techniques has eased the way we would look to solve the real-world problems. One such area which has recently gained lot of attention is the biometric analytics like Face Recognition, Fingerprint, voice etc. It involves extracting features such as face expressions, gender, age etc. Gender information plays a vital role in areas such as human computer interaction, crime detection, gender preferences, facial biometrics for digital payments etc. This paper proposes gender recognition using facial images and fingerprints with different algorithm like Visual Geometry Group-VGGNet16?, Segmentation based Fractal Texture Analysis (SFTA) etc.

Authors and Affiliations

Brijesh Patel
PG Scholar, Computer Engineering, Sigma Institute of Engineering, Vadodara, Gujarat, India
Dr. Sheshang Degadawala
Head of the Department, Computer Engineering, Sigma Institute of Engineering, Vadodara, Gujarat, India

Gender Identification, Biometrics, Face Image, Fingerprint, SFTA, SVM, CNN

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Publication Details

Published in : Volume 6 | Issue 1 | January-February 2020
Date of Publication : 2020-01-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 20-25
Manuscript Number : CSEIT20613
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Brijesh Patel, Dr. Sheshang Degadawala, "A Survey Paper on Gender Classification using Deep Learning", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 1, pp.20-25, January-February-2020. Available at doi : https://doi.org/10.32628/CSEIT20613
Journal URL : http://ijsrcseit.com/CSEIT20613

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