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Fingerprint analysis and singular point detection [PDF]

Pattern Recognition Letters, 2007
Correctly locating singular points (core and delta points) is crucial for most fingerprint classification and recognition applications. In this paper, we propose an algorithm to compute pixel direction and in return create essential primitive features called fault lines.
Ching-Yu Huang, Li-min Liu, D. C. Douglas Hung   +2 more
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A robust singular point detection algorithm

Applied Soft Computing Journal, 2015
Graphical abstractDisplay Omitted HighlightsThe proposed algorithm can be used to detect singular points, viz. core and delta points, of fingerprints accurately, even if the images are of bad quality.It can be used to classify a fingerprint into one of the categories such as arch, tented arch, left loop, right loop, double loop or whorl pattern even in
Phalguni Gupta
exaly   +2 more sources

Detection of singular points in fingerprint images

Pattern Recognition, 1992
Abstract This paper describes a technique for the detection of singular points in a fingerprint image. The singular points, namely the core and the delta points, are used as points of registration in fingerprint matching. This method makes use of structural information culled from the directional histograms of the directional image of a fingerprint ...
V. S. Srinivasan, N. N. Murthy
exaly   +2 more sources

Singular point detection by shape analysis of directional fields in fingerprints

Pattern Recognition, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chul-Hyun Park, Joon-Jae Lee, M J T Smith   +2 more
exaly   +3 more sources

An Adaptive Approach to Singular Point Detection in Fingerprint Images

AEU - International Journal of Electronics and Communications, 2004
Summary This paper presents a novel algorithm for detection of singular points, the core and delta points, in fingerprint images. The number and location of singular points, are used to classify fingerprint images into five general groups; and therefore to narrow down the search space in large fingerprint databases.
Mohammad Reza Rahimi, Shohreh Kasaei
exaly   +2 more sources

Singular Point Detection for characterization of polycrystalline permanent magnets

Measurement: Journal of the International Measurement Confederation, 2020
Magnetic anisotropy is among the most important properties that are to be measured in permanent magnet characterization. While in single crystals it can be quite straightforwardly evaluated by conventional magnetometry, it often is of uncertain determination when dealing with polycrystalline samples.
R Cabassi
exaly   +3 more sources

Singular point detection in fingerprints using quadrant change information

18th International Conference on Pattern Recognition (ICPR'06), 2006
Automatic localization of singular points in fingerprints is of critical importance in many algorithms. Existing methods of detecting singular points often require tedious ad-hoc parameter tuning, particularly in the presence of degraded quality fingerprints.
Krzysztof Kryszczuk, Andrzej Drygajlo
exaly   +2 more sources

Fingerprint Singular Point Detection Based on Multiple-Scale Orientation Entropy

IEEE Signal Processing Letters, 2011
This letter develops a novel method for fingerprint singular point detection based on a new singularity representation of ridge-valley region called orientation entropy. The candidate singular point is obtained by the multiple-scale analysis of orientation entropy and some post processing steps are proposed to filter the spurious core and delta points.
Liaojun Pang, Jimin Liang, Eryun Liu
exaly   +2 more sources

An Algorithm Based on Singular Spectrum Analysis for Change-Point Detection [PDF]

Communications in Statistics Part B: Simulation and Computation, 2003
This paper is devoted to application of the singular-spectrum analysis to sequential detection of changes in time series. An algorithm of change-point detection in time series, based on sequential application of the singular-spectrum analysis is ...
Valentina Moskvina, Anatoly Zhigljavsky   +1 more
exaly   +2 more sources