Fingerprint Analysis with Marked Point Processes

2014/07/22 by Peter G. M. Forbes, Peter Forbes, Steffen L. Lauritzen +5
Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #Applications (stat.AP) #Biometric Identification and Security #FOS: Computer and information sciences #Forensic and Genetic Research #Methodology (stat.ME) #Point processes and geometric inequalities #Primary 62M30 #Secondary 62P99 #msc:62M30 #msc:62P99 #stat.AP #stat.ME

paper · pdf · doi:10.48550/arxiv.1407.5809

arxiv created 2014/07/22 · openalex publication_date 2014/07/22 · arxiv updated 2014/07/23 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

We present a framework for fingerprint matching based on marked point process models. An efficient Monte Carlo algorithm is developed to calculate the marginal likelihood ratio for the hypothesis that two observed prints originate from the same finger against the hypothesis that they originate from different fingers. Our model achieves good performance on an NIST-FBI fingerprint database of 258 matched fingerprint pairs.

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