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The question that is trying to be answered is if Henry Classifications of fingerprints will be recognized differently across multiple sensors. Answering this would help to understand the reliability of different sensors and the overall compatibility of different sensors. When purchasing new sensors, it would be beneficial to know which sensor has the least amount of variability between classifications. This would also be useful when upgrading hardware to ensure that it is compatible with an existing database. To do this, we compared the Henry Classifications of different sensor results and analyzed the variability found. The variability that we found was due to either user error, or an error with the algorithm used with the sensor.