Transcription of biometric descriptors in cheiloscopy

Abstract

Objective: To transcribe biometric data into a coding template for lip grooves.

Methods: A descriptive, non-experimental, cross-sectional study was conducted using lip images. The units of analysis were the "upper and lower lip." Simple random sampling was used with a 95% confidence level, an expected proportion of 0.5, and a precision of 0.03 (3% margin of error), resulting in a sample size ('n') of 100. Images were captured using a DSLR camera, edited in Adobe Illustrator, and exported in .JPEG format. A clipping mask divided into 24 cells was then applied to these images.

Results: The minimum age of participants was 21 years, with an average age of 40.93, a mode of 37, and a median of 36 years. The coding template consists of 12 columns for the upper lip (S1 to S12) and 12 for the lower lip (I1 to I12). Each column is subdivided into three sections (e.g., s1, s2, s3), allowing for the transcription of three biometric patterns per cell of the mask.

Conclusions: The transcription of biometric data into a coding template for lip grooves represents a significant advancement in authentication methods. This technique standardizes and systematically records the unique characteristics of lip grooves, facilitating comparison within databases. By converting visual information into a coded format, automated analysis is optimized, human error is minimized, and the accuracy of individual identification is improved.