Deep Learning Model for Face Identification using Localization of Faces


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

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.

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