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Optimized singular point detection algorithm for fingerprint images
Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2002An efficient algorithm for singular point (core and delta) detection in fingerprint images is proposed. The algorithm is based on an efficient directional image calculation method. A novel approach for detecting the singular points using signum change curves in the directional images is also proposed.
Pauli Rämö +3 more
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A systematic topological method for fingerprint singular point detection
2008 10th International Conference on Control, Automation, Robotics and Vision, 2008Singular point detection is an important issue in fingerprint image analysis. General methods like Poincare index method can detect singular points in non-arch type fingerprints but fail on arch-type fingerprints. Some more sophisticated methods like complex filter method also face the same problem.
Hwee Keong Lam +4 more
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Impact of Singular Point Detection on Fingerprint Matching Performance
Fourth IEEE Workshop on Automatic Identification Advanced Technologies (AutoID'05), 2006A majority of the minutiae based fingerprint verification algorithms rely on explicit or implicit alignment of the minutiae points for matching the two prints. With no prior knowledge about point correspondences, this becomes a combinatorial problem.
Sharat Chikkerur, Nalini K. Ratha
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A Novel Algorithm for Detecting Singular Points from Fingerprint Images
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009Fingerprint analysis is typically based on the location and pattern of detected singular points in the images. These singular points (cores and deltas) not only represent the characteristics of local ridge patterns but also determine the topological structure (i.e., fingerprint type) and largely influence the orientation field.
Jie Zhou 0001 +2 more
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Singular point detection of discontinuous magnetization processes
Journal of Applied Physics, 1985Ferromagnetic crystals can show discontinuous jumps in the magnetization curve for certain combinations of the anisotropy constants. These are called first-order magnetization processes (FOMP) and have been recently observed in a large variety of compounds.
G. Asti, F. Bolzoni
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An Improved Method of Fingerprint Singular Points Detection
2007 IEEE International Conference on Control and Automation, 2007Singular points (SPs) in fingerprint images have important applications in fingerprint recognition such as registration and classification. Reliable detection of SPs could sufficiently improve processing speed and performance of automatic fingerprint identification system. In this paper, an improved SPs detection method is proposed.
null Xiaoqi Peng +3 more
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Residual orientation modeling for fingerprint enhancement and singular point detection
Pattern Recognition, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Suksan Jirachaweng +3 more
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A Hierarchy Approach for Singular Point Detection in Fingerprint Images
2004In this paper we present a hierarchy approach for singular points (SPs) detection in fingerprint images. In the coarse location stage those image blocks containing SPs are located by calculating Poincare Index in the block orientation field, the types of the SPs are determined at the same time, and orientations of cores are computed in a novel way ...
Furong Wang +3 more
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Singular points detection based on multi-resolution in fingerprint images
Neurocomputing, 2011The singular points of fingerprints, namely core and delta, play an important role in fingerprint recognition and classification systems. Several traditional methods have been proposed; however, these methods cannot achieve the reliable and accurate detection of poor-quality fingerprints.
Dawei Weng, Yilong Yin, Dong Yang
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Detecting and locating a singular point in the numerical solution of IVPs for ODEs
Computing, 1992Most of the available numerical methods for solving initial value problems for ordinary differential equations do not give good results in the neighborhood of a singularity. The objective is to recognize, at very little extra cost, when singularities are affecting the performance of a method.
Heru Suhartanto, Wayne H. Enright
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