What is it about?
This study develops an automatic fingerprint identification system using image analysis and robust distance measures in Visual Basic, achieving 84.5% success in identifying fingerprints from a database of 8000 criminal records in Erbil.
Featured Image
Photo by hessam nabavi on Unsplash
Why is it important?
It modernizes fingerprint identification in Erbil by replacing outdated manual methods with a reliable, automated system, enhancing criminal identification efficiency and accuracy.
Perspectives
Future work could improve accuracy with advanced machine learning, expand to multi-modal biometrics, and integrate with national databases for wider forensic and security applications.
Dr. Delshad Shaker Ismael Botani
Salahaddin University-Erbil
Read the Original
This page is a summary of: Automatic Fingerprint Identification System Using Robust Distance, TANMIYAT AL-RAFIDAIN, September 2006, University of Mosul,
DOI: 10.33899/tanra.2006.161638.
You can read the full text:
Contributors
The following have contributed to this page
