Summary: A Fingerprint Verification Algorithm Using the Smallest Minimum Sum of Closest
Euclidean Distance.
Ujjal Kumar Bhowmik1*
, Ashkan Ashrafi2
, Reza R. Adhami1
,
1
Department of Electrical and Computer Engineering, The University of Alabama in Huntsville, Huntsville, AL
35899, USA,
2
Department of Electrical and Computer Engineering, San Diego State University, San Diego, CA 92182, USA
Emails: *
ukb0001@email.uah.edu, ashrafi@mail.sdsu.edu, adhami@ece.uah.edu
Abstract
In this paper, a Euclidean distance based minutia
matching algorithm is proposed to improve the matching
accuracy in fingerprint verification system. This
algorithm extracts matched minutia pairs from input and
template fingerprints by using the smallest minimum sum
of closest Euclidean distance (SMSCED), corresponding

Source: Ashrafi, Ashkan - Department of Electrical and Computer Engineering, San Diego State University

Collections: Engineering; Computer Technologies and Information Sciences