Pattern Recognition Algorithms for Cluster Identification Problem

Material Identification Using Laser Spectroscopy and Pattern Recognition Algorithms

We report on pattern recognition algorithms in discriminant analysis, which were used on Laser Induced Breakdown Spectroscopy (LIBS) spectra (intensity of signal against wavelength) for metal identification and sorting purposes. In instances where accurate elemental concentrations are not needed, discriminant analysis can be applied, to compare and match spectra of “unknown“ samples to library ...

Sparse Matrix Reordering Algorithms for Cluster Identification

Vertex Reordering Algorithms for Cluster Identification

In this paper we present two graph-theoretic algorithms for cluster identification and demonstrate the effectiveness of their combined use. Building on the results of our previous study using sparse matrix reordering schemes to generate clusters, we modify the most promising algorithms to take advantage of similarity scores to produce orderings that nearly recover known clusters. Both algorithm...

Algorithms for Hardware-Based Pattern Recognition

Nonlinear spatial transforms and fuzzy pattern classification with unimodal potential functions are established in signal processing. They have proved to be excellent tools in feature extraction and classification. In this paper, we will present a hardwareaccelerated image processing and classification system which is implemented on one field-programmable gate array (FPGA). Nonlinear discrete c...

Pattern Recognition Algorithms for Ear Biometrics

In this article we present geometrical Parameter algorithms for ear Biometrics by representing the Ear image as contours, feature extraction and recognition. The proposed algorithms were developed for ear biometrics, but they can be applied in other contour image processing applications. Firstly we present mathematical and algorithmic foundations of geometrical feature extraction methods. We al...