The purpose of our study is to report findings on fingerprint interaction consistency of the thumb and four-finger prints on both hands. We analyzed videos and compared the videos to the results that were programmed in an excel sheet. We examined the fingerprints of individuals to better understand how a fingerprint system collects data. So we can better fingerprint systems in the future. Also, we analyzed the thumb prints to see if there were more readings on the middle left or middle right bars. It is believed that many thumb prints tend to lean to one side compared to the other, which impacts system readings. We gathered these results to show consistency in the placement of the captured print, based on different force levels: 5N, 7N, 9N, 11N and 13N. The higher the force level of the ten-print system the more force is required for the system to capture a read.
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
(Spring 2013) Fingerprint Interaction Consistency
1. FINGERPRINT INTERACTION CONSISTENCY
The purpose of our study is to report findings on fingerprint interaction consistency of the thumb and four-finger prints on both hands. We analyzed videos and
compared the videos to the results that were programmed in an excel sheet. We examined the fingerprints of individuals to better understand how a fingerprint
system collects data. So we can better fingerprint systems in the future. Also, we analyzed the thumb prints to see if there were more readings on the middle left
or middle right bars. It is believed that many thumb prints tend to lean to one side compared to the other, which impacts system readings. We gathered these
results to show consistency in the placement of the captured print, based on different force levels: 5N, 7N, 9N, 11N and 13N. The higher the force level of the
ten-print system the more force is required for the system to capture a read.
Guy Fisher, Jordan Hill, Michael Brockly, Stephen Elliott
Overview
ResultsAdvantages
• Video and excel sheet provided gives precise reading
• Program helped us capture readings at different time frames
• Help give us the necessary feedback
• Make the process go quicker (convenient)
• Reliable
Image above shows a thumb print that scanned well. That is indicated
by the single green bar that shows up on the left side of the image.
Conclusion Future Work
Since we focused more on the results of the thumb print interaction, another group can take
our project in the future and focus on the four-fingerprints. They can go more in depth with
the different force levels to see how a user can consistently place their hand to get
consistent readings from the system. Most fingerprint systems do not always read correctly
and getting green readings for each finger. Green reading show a well read print compared
to red or orange readings. Future work must improve the system so green reading are more
consistent with each finger scanned.
After gathering data from the fingerprint interaction consistency tests, we concluded
that most readings came from the right side when the thumb was tested. Many people
when even testing their left thumb the system still processed on the right side. The
above results show reinforce our conclusions made. Also how fingerprint interaction
test systems should be modified to help balance out side distribution of thumb tests
Current Fingerprint Systems
• Crossmatch L-Scan Guardian
• Used for security purposes
• Capture Speed of15 frames per second (fps)
• Patented auto capture capability for flat fingerprints without operator
intervention
The computer program would gather the different readings of fingerprint interaction
at different time frames. This would allow us to gather information on whether the
user was properly placing their fingers on the system. The program would also give
feedback, such as a red arrow directing the hand placement of the user.
Image above shows finger prints that scanned well indicated by the four
green bars.