Gender Identification Using Ensemble Linear Discriminant Analysis Algorithm Based on Facial Features

Jana, Susovan; Thangam, S.; Selvaganesan, S.

doi:10.1007/978-981-16-7996-4_3

Cited by 4 publications

(1 citation statement)

References 16 publications

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“…Linear Discriminant Analysis (LDA) is an algorithm aiming to select distinctive data classification features by eliminating non-discriminatory features. Thus, it is a method that can analyze images according to their attributes, not their content (Jana et al, 2022). Principal Component Analysis (PCA) is a method based on compressing and comparing the image to extract the specific parts in the image .…”

Section: Introductionmentioning

confidence: 99%

Kalabalık Kamu Alanları için YOLO V7 ve Bilgisayar Görmesi Temelli Maske Giyim Uyarı Sistemi

Egi

2023

Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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The impact of Covid 19 cases is increasing worldwide due to not complying with social distancing and mask-wearing rules in congested areas such as hospitals, schools, and malls where people have to be together. Although the authorities have taken various precautions to prevent not wearing masks, it is challenging to inspect masks in crowded areas. People who do not wear masks can be unnoticed by visual inspections, which is a critical factor in the increase of the epidemic. This study aims to create an Artificial Intelligence (AI) based mask inspection system with the YOLO V7 deep learning method to ensure that overcrowded public areas are protected from the Covid-19 epidemic.

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Section: Introductionmentioning

confidence: 99%