Journal of Odontology
Open Access

Tesla Stem High School, Redmond, Washington, United States

Publications

• Research   
  The Rugae Classification Sequence: Using Machine Learning to Determine Gender from Characteristics of Palatal Rugae
  Author(s): Amrant Singh* and Savid Gershony
  
  Background: Palatal rugae are a series of ridges on the hard palate of the mouth with high durability and stability, ensuring their usefulness as a tool for disaster victim identification. Additionally, certain characteristics of palatal rugae are shared by gender or within specific age groups. Currently, forensics odontologists must manually examine palatal rugae imprints to determine an individual’s gender, a time-consuming process vulnerable to bias and human error. Methodology: This project sought to automate the process of palatoscopy based classification by developing the Rugae Classification Sequence (RCS), a comprehensive tool for gender identification based on features of the palatal rugae. First, data important to palatal rugae–namely rugae length, width, subject age, and gender–were extracted f.. View More»
  DOI: 10.35248/JOY.22.6.629

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