Fingerprint Sample Synthesis
Fingerprint sample synthesis is the generation of images similar to human fingerprints, through parametric models that simulate the main characteristics of such biometric data and their modes of variation. The image synthesis is typically performed by a computer program that, starting from some input parameters, executes a sequence of algorithmic steps that finally produce a synthetic fingerprint image.
With the increasingly adoption of fingerprint recognition systems, driven by their very appealing accuracy/cost tradeoff, methodical and accurate performance evaluations of fingerprint recognition algorithms are needed. Unfortunately, this requires large databases of fingerprints, due to the very small rates of error necessary for the procedure. For instance, according to , in order to support a claim of FMR less than 1/10,000 (the requirement for verification...
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