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Description: Evidence accumulation models have been used to describe the cognitive processes underlying performance across a number of domains. Previous applications of these models have typically involved decisions about basic perceptual stimuli (e.g., lexical decisions). Applied perceptual domains, such as fingerprint discrimination, face recognition or medical image interpretation, however, require the processing of complex visual information and therefore manifest extended response times. However, typical decision-making models applied in these domains, such signal detection theory, do not account for such temporal information, which is closely related to accuracy. We apply a dynamic decision-making model – the linear ballistic accumulator (LBA) – to fingerprint discrimination decisions in order to gain insight into the cognitive processes underlying these decisions.