Fingerprint analysis via oriented band pass filters

Tari, S
Liang, P
A new fingerprint image representation which captures both the local features such as minutiae and the global features such as overall ridge structure is presented. The basic tool is a set of oriented band pass filters which are parametrized by three parameters. We relate quantitative filter responses to the structural characteristics of the fingerprint ridges.


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In this paper, a neural network structure based on Self Organizing Feature Maps (SOM) is proposed for fingerprint classification. In order to be able to deal with fingerprint images having distorted regions, the SOM learning and classification algorithms are modified. For this purpose, the concept of ''certainty'' is introduced and used in the modified algorithms. This fingerprint classifier together with a fingerprint identifier, constitute subsystems of an automated fingerprint identification system named...
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Çiftçi, Serdar; Yarman Vural, Fatoş Tunay; Kalkan, Sinan; Department of Computer Engineering (2011)
Edge detection is an important step in computer vision since edges are utilized by the successor visual processing stages including many tasks such as motion estimation, stereopsis, shape representation and matching, etc. In this study, we test whether a local consistency measure based on image orientation (which we call Intersection Consistency - IC), which was previously shown to improve detection of junctions, can be used for improving the quality of edge detection of seven different detectors; namely, C...
Citation Formats
S. Tari and P. Liang, “Fingerprint analysis via oriented band pass filters,” 1999, p. 747, Accessed: 00, 2020. [Online]. Available: