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The project looked to determine if minutiae point count differed when measured across different sensors and algorithms. Data from nine different sensors of various types and data collection methods were collected, and minutiae points were calculated using both Megamatcher and Aware algorithms. After the data was collected, it was examined to determine standard deviation, minutiae point count, and any similarities between sensors that show a positive correlation. This research may be used in the future to determine if quality is affected by minutiae count, which may become a method for sensor and algorithm selection. It may also be used to analyze the interoperability of different sensors to see if significant data loss is to be expected during data transfer.