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In a world in which biometric systems are used more and more often within our surroundings while the number of publications
related to this topic grows, the issue of access to databases containing information that can be used by creators of such systems becomes
important. These types of databases, compiled as a result of research conducted by leading centres, are made available to people who are
interested in them. However, the potential combination of data from different centres may be problematic. The aim of the present work
is the verification of whether the utilisation of the same research procedure in studies carried out on research groups having similar
characteristics but at two different centres will result in databases that may be used to recognise a person based on Ground Reaction
Forces (GRF). Studies conducted for the needs of this paper were performed at the Bialystok University of Technology (BUT) and Lublin
University of Technology (LUT). In all, the study sample consisted of 366 people allowing the recording of 6,198 human gait cycles. Based
on obtained GRF data, a set of features describing human gait was compiled which was then used to test a system’s ability to identify
a person on its basis. The obtained percentage of correct identifications, 99.46% for BUT, 100% for LUT and 99.5% for a mixed set of data
demonstrates a very high quality of features and algorithms utilised for classification. A more detailed analysis of erroneous classifications
has shown that mistakes occur most often between people who were tested at the same laboratory. Completed statistical analysis of select
attributes revealed that there are statistically significant differences between values attained at different laboratories.
