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Fingerprint Image Enhancement using Filtering Techniques Shlomo Greenberg, Mayer Aladjem, Daniel Kogan and Itshak Dimitrov
 

Summary: Fingerprint Image Enhancement using Filtering Techniques
Shlomo Greenberg, Mayer Aladjem, Daniel Kogan and Itshak Dimitrov
Electrical and Computer Engineering Department,
Ben-Gurion University of the Negev, Beer-Sheva, Israel
Shlomog@ee.bgu.ac.il
Abstract
Extracting minutiae from fingerprint images is one
of the most important steps in automatic fingerprint
identification and classification. Minutiae are local
discontinuities in the fingerprint pattern, mainly
terminations and bifurcations. In this work we propose
two methods for fingerprint image enhancement. The first
one is carried out using local histogram equalization,
Wiener filtering, and image binarization. The second
method use a unique anisotropic filter for direct
grayscale enhancement. The results achieved are
compared with those obtained through some other
methods. Both methods show some improvement in the
minutiae detection process in terms of either efficiency or
time required.

  

Source: Aladjem, Mayer - Department of Electrical and Computer Engineering, Ben-Gurion University
Areibi, Shawki M - School of Engineering, University of Guelph

 

Collections: Computer Technologies and Information Sciences; Engineering