Age Estimation from Facial Images of Human Beings

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@article{1705290,
      author = {Olatunde Olukemi Victoria, Olagunju Olabisi Kayode},
      title = {Age Estimation from Facial Images of Human Beings},
      journal = {Iconic Research And Engineering Journals},
      year = {2023},
      volume = {7},
      number = {6},
      pages = {116-120},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1705290.pdf},
      abstract = {Real-time age estimation applications are prevalent in biometrics, security, and healthcare fields. These applications support various elements for confirming or authenticating an individual?s identification, including age simulation, electronic customer relationship management, access control, surveillance, and age-specific human-computer interaction. The measure of how long a person or an object has existed is known as age, an age estimation system aims to attribute a certain age or age range to a given face image, with facial features, and the human face provides crucial data about a person's traits, including identity, expression, age, beauty, and gender, a person's age and identification can be estimated using facial recognition technology. This study proposed an innovative machine learning approach for classifying a person's age according to their facial image, thereby reducing reliance on sensitive identification data.},
      keywords = {Age, Age Estimation, Facial Images, Machine Learning},
      month = {December},
      doi = {https://doi.org/10.64388/IREV7I6-1705290}
  }