Authors :
Dnyanesh Walwadkar
Volume/Issue :
Volume 7 - 2022, Issue 3 - March
Google Scholar :
http://bitly.ws/gu88
Scribd :
https://bit.ly/3uxaCun
DOI :
https://doi.org/10.5281/zenodo.6385751
Abstract :
An unknown face in a face dataset can be
identified using a deep learning model and a wide range
of issues can be addressed based on it. Identifying
celebrities' faces for tagging in photos or other deep
learning functions is one example. It can be used to
identify missing people, identify criminals, verify
government documents, collect images, and search for
images.
To address this issue. (1) The paper provides a
comparison between the challenges and solutions
proposed by the researchers and (2) the use of VGG Face
models with localized faces to solve organizational face
comparison problems using 113 different classes and 8664
images with different ages, angles, and Spectacles.
Analyzes traditional and deep learning-based models.
Good accuracy was achieved by identifying the face from
the image and performing the identification on the
identified face rather than the entire image.
Keywords :
Deep Learning, VGG, Face Identification, Face Localisation.
An unknown face in a face dataset can be
identified using a deep learning model and a wide range
of issues can be addressed based on it. Identifying
celebrities' faces for tagging in photos or other deep
learning functions is one example. It can be used to
identify missing people, identify criminals, verify
government documents, collect images, and search for
images.
To address this issue. (1) The paper provides a
comparison between the challenges and solutions
proposed by the researchers and (2) the use of VGG Face
models with localized faces to solve organizational face
comparison problems using 113 different classes and 8664
images with different ages, angles, and Spectacles.
Analyzes traditional and deep learning-based models.
Good accuracy was achieved by identifying the face from
the image and performing the identification on the
identified face rather than the entire image.
Keywords :
Deep Learning, VGG, Face Identification, Face Localisation.
