A Survey Paper on Gender Classification using Deep Learning
Author(s) -
Brijesh Patel,
Sheshang Degadawala
Publication year - 2020
Publication title -
international journal of scientific research in computer science engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit20613
Subject(s) - biometrics , computer science , artificial intelligence , segmentation , face (sociological concept) , facial recognition system , visual analytics , analytics , fingerprint (computing) , pattern recognition (psychology) , machine learning , computer vision , data science , visualization , social science , sociology
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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