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Standardizing fingerprint minutiae: A comprehensive inventory and statistical analysis based on Brazilian data.
Gabriel Ângelo da Silva Gomes1, Lílian Pedrosa Marouelli de Oliveira2, Daniel da Silva Carvalho3
1Federal Police, Foz do Iguaçu, PR, Brazil; University of Brasília, Department of Statistics, Brasília, DF, Brazil.
Forensic Science International
|September 29, 2024
Summary
This study inventories 54 fingerprint minutiae variations to standardize forensic identification. Analyzing Brazilian data reveals demographic influences on fingerprint details, enhancing accuracy and paving the way for universal classification standards.
Area of Science:
- Forensic Science
- Biometrics
- Anthropology
Background:
- Standardizing fingerprint minutiae is crucial for accurate forensic identification.
- Existing classification systems lack comprehensive detail and universal acceptance.
- Understanding demographic influences on fingerprint characteristics is limited.
Purpose of the Study:
- To create a comprehensive inventory of 54 fingerprint minutiae and their variations.
- To investigate the relationship between fingerprint details (Level 1, 2, and 3 Density) and demographic factors (sex, geographic location, finger type).
- To propose a systematic approach for enhancing fingerprint identification accuracy and establishing universal classification standards.
Main Methods:
- Analysis of a diverse fingerprint sample from the Brazilian Federal Police database.
- Stratification of samples by sex and geographic location.
- Comprehensive cataloging of 54 minutiae types and their frequency distributions.
Main Results:
- Documented frequency distributions for fingerprint minutiae in the Brazilian population.
- Identified correlations between demographic factors and specific fingerprint minutiae characteristics.
- Validated the representativeness of the Brazilian sample for minutiae diversity.
Conclusions:
- The study provides a foundational inventory for standardized fingerprint minutiae classification.
- Findings contribute to minimizing data loss in forensic identification processes.
- Establishes a basis for more uniform and accurate comparative studies in fingerprint analysis.

