文档介绍：Algorithm for Detection and Elimination of
False Minutiae in Fingerprint Images
Seonjoo Kim, Dongjae Lee, and Jaihie Kim
Department of Electrical and Electronics Engineering,Yonsei University, Seoul, Korea
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Abstract. mon problem in fingerprint recognition is the exis-
tence of false minutiae which increase both FAR and FRR in fingerprint
matching. In this paper, a robust minutiae postprocessing algorithm is
proposed. Unlike most algorithms which use simple distance and con-
nectivity criterions for postprocessing, we also used orientation and flow
of ridges as the key factor for postprocessing to avoid eliminating true
minutiae while postprocessing. It is shown by the experiments that our
postprocessing algorithm improves the minutiae extraction accuracy and
the performance of the matching process.
1 Introduction
Most fingerprint recognition systems are based on minutiae matching [1]. Minu-
tiae are local discontinuities of fingerprints and are restricted to two types : ridge
ending and ridge bifurcation [2], [3]. mon problem in fingerprint recogni-
tion is the existence of false minutiae which increase both FAR and FRR in
fingerprint matching. Therefore, the enhancement of the fingerprint image and
the false minutiae elimination form an important part of the system. However,
most of the researches emphasized on the fingerprint