The Influence of Force on Fingerprint Recognition Using Automated Data Capture
Written by admin // April 25, 2009 // Blog, CERIAS, Fingerprint, Graduate // Comments Off
B. Senjaya, T.B. Lee, Ph.D., S.J. Elliott, Ph.D., S.K. Modi, Ph.D.
Fingerprint image quality has a positive on recognition systems. By improving the quality of fingerprint images the performance of the system can be increased. Current automated fingerprint capture processes conduct quality analysis on fingerprints after capturing the fingerprint and prompt the user for additional fingerprints if the image does not conform to the quality criterion. The process of recapturing increases throughput time and increases the inconvenience faced by users. The objective of this research was to redesign the image capture process by identifying optimal force levels for initiating the capture operation. 70 subjects interacted with an optical fingerprint sensor at several force levels to identify the force level that yielded the best fingerprint image quality and least number of matching errors.