Enhancing Fingerprint Forensics: A Comprehensive Study of Gender Classification Based on Advanced Data-Centric AI Approaches and Multi-Database Analysis

Enhancing Fingerprint Forensics: A Comprehensive Study of Gender Classification Based on Advanced Data-Centric AI Approaches and Multi-Database Analysis

Fingerprint analysis has long been a cornerstone in criminal investigations for suspect identification. Beyond this conventional role, recent efforts have aimed to extract additional demographic information from fingerprints, such as gender, age, and nationality. While studies have demonstrated prom...

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Bibliographic Details
Main Authors: Assaf B. Spanier, Dor Steiner, Navon Sahalo, Yoel Abecassis, Dan Ziv, Ido Hefetz, Shimon Kimchi
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Applied Sciences
Subjects:
fingerprint analysis
gender classification
Data-Centric AI (DCAI)
forensic science
partial or low-quality fingerprint images
Online Access:https://www.mdpi.com/2076-3417/14/1/417

Internet

https://www.mdpi.com/2076-3417/14/1/417

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