Prescription eyeglasses as a forensic physical evidence: Prediction of age based on refractive error measures using machine learning algorithm
Maram Atef Moustafa,
Sara Attia Ghitani,
Marwa Abdelfattah Kholief
et al.
Abstract:Refractive errors (RE) are commonly reported visual impairment problems worldwide. Previous clinical studies demonstrated age‐related changes in human eyes. We hypothesized that the binocular RE metrics including sphere and cylinder power, axis orientation, and interpupillary distance (IPD) can be used for forensic age estimation of an unknown individual. RE data of both eyes were collected from the clinical optometric exams and prescription glasses of 2027 Egyptian individuals aged between 2 to 93 years. The … Show more
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