AI RESEARCH
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis
arXiv CS.CV
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ArXi:2512.18073v2 Announce Type: replace Multimodal LLMs (MLLMs) are capable of performing complex data analysis, visual question answering, generation, and reasoning tasks. However, their ability to analyze biometric data is relatively underexplored. In this work, we investigate the effectiveness of MLLMs in understanding fine structural and textural details present in fingerprint images. To this end, we design a comprehensive benchmark, FPBench, to evaluate 20 MLLMs (open-source and