Banca de DEFESA: Gabriel Ângelo da Silva Gomes

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : Gabriel Ângelo da Silva Gomes
DATE: 13/12/2023
TIME: 10:30
LOCAL: On-line
TITLE:

Essays on fingerprint data statistical analysis

KEY WORDS:

Não informado.

PAGES: 55
BIG AREA: Ciências Exatas e da Terra
AREA: Probabilidade e Estatística
SUMMARY:

Traditionally, identification results using fingerprint fragments are considered admissible, reliable, and robust forensic evidence. Although this practice is well accepted worldwide, some issues have to be investigated to best use forensic evidence. One refers to the probability models introduced in the 1970s-1980s for criminal identification by fingerprint fragments. According to these models, each fingerprint has a set of characteristic points (minutiae) that distinguish it from the others. As the population frequencies of these minutiae parameterize these models, the reliable estimation of these parameters is still an open problem. Firstly, some probabilistic models establish hypothetical conjectures for defining these parameters in a theoretical random experiment framework. Secondly, the models that use sampling frequencies of these minutiae had considered small samples. Thirdly, the criteria for identifying fingerprints (the minutiae) have evolved over the years. With the current availability of large fingerprint databases provided by AFIS (Automated Fingerprint Identification System) technology, this study proposes to reestimate the frequency of occurrences of minutiae, comparing the results with those provided by other works in the same direction. Thus, this research will improve the scientific basis for the practice of civil and criminal identification through fingerprint fragments.

COMMITTEE MEMBERS:
Interno - 2866456 - GLADSTON LUIZ DA SILVA
Presidente - 1171224 - RAUL YUKIHIRO MATSUSHITA
Externa à Instituição - REGINA CÉLIA BUENO DA FONSECA - IFG
Interno - 2357165 - ROBERTO VILA GABRIEL