Deep Analysis of Iris Print and Fingerprint for Detecting Drug Addicts

Abstract

Biometric recognition technologies such as fingerprints and iris recognition have become increasingly popular in recent years with various applications in security access control and identity verification. However, storing and processing large amounts of vital data can be a challenging task particularly in large-scale systems that handle millions of records. This study explores techniques to reduce biometric template sizes without compromising recognition accuracy, focusing on the application of fingerprint and iris print technologies in identifying drug addicts.