A Survey Paper on Gender Classification using Deep Learning

Authors

  • 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

DOI:

https://doi.org//10.32628/CSEIT20613

Keywords:

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

Abstract

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.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2020-01-30

Issue

Volume 6, Issue 1, January-February-2020

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Brijesh Patel, Dr. Sheshang Degadawala, " A Survey Paper on Gender Classification using Deep Learning, IInternational 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