A Probabilistic Expression System for Fingerprint Identification Findings Based on Stability

Abstract

Human fingerprints is of critical importance for law enforcement agencies to identify suspects. At present, the number of fingerprint matching feature points is generally used to determine whether two fingerprints are from the same person, and the criteria vary from country to country. This paper establishes a probabilistic expression system from a statistical point of view to give the probability of similarity between two fingerprints, which can be used to characterize the degree of similarity between the two fingerprints. Our method is now being tried for latent fingerprint and tenprints identification conclusion expression in public safety.