Wyniki wyszukiwania - BazTech

1

Mutual correlation of sol-gel optical properties and repeatability of production process examined by statistical pattern recognition methods

Kobel J., Podbielska H., Lechna-Marczyńska M., Ulatowska-Jarża A.

Optica Applicata

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2003

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Vol. 33, nr 1

97-105

EN

The methods based on the statistical pattern recognition are used for the evaluation of microscopic images of sol-gel matrices. The applied classification is a two steps scheme: dimensionality reduction of the data and cluster analysis. The obtained results have demonstrated that the molar ratio R (the number of solvent moles to the number of substrate moles) influences the stability of sol-gel materials, thus enabling us to reach the higher repeatability of the production process. It has been shown that the repeatability varies between 96.67% (for molar ratio R = 5) and 98.33% (for R = 15, 32, 50). This corresponds with the results of light scattering and transmission measurements.

2

Application of thermal imaging for human face recognition

Kobel J., Suchwałko A., Podbielska H.

Optica Applicata

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2002

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Vol. 32, nr 4

653-664

EN

In this paper the possibility of exploiting thermal images of human faces and their computer aided analysis for person recognition is presented. The statistical pattern recognition methods realizing the classification and identification of human faces thermograms are applied. For thermogram recording the spectral range of 8–13 mm was chosen. The applied procedure is a two step scheme: dimensionality reduction of the data based on the PCA (principal component analysis) approach and cluster analysis. Five hierarchical methods of cluster analysis and five different distance metrics were used for classification. The recognition was carried out for six different sizes of face images: 85×85, 50×50, 25×25, 13×13, 7×7 and 3×3 pixels. It was shown that the cluster analysis by the Ward method gave the best results, namely the highest recognition accuracy (RA). The RA depends on the size of an analyzed image, as well. It decreases with size reduction.

3

Systemy biometryczne realizujące rozpoznawanie twarzy ludzkiej

Kobel J., Podbielska H.

Elektronizacja : podzespoły i zastosowania elektroniki

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2001

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nr 7-8

33-38

4

Biometryczne systemy zabezpieczeń oraz identyfikacji osób

Kobel J.

Acta Bio-Optica et Informatica Medica. Inżynieria Biomedyczna

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2000

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Vol. 6, nr 1-2

21-24

PL

W pracy przybliżono pojęcie biometrii. Opisano cechy biometryczne oraz przedstawiono przykładowe systemy biometryczne, zbudowane w oparciu o rozpoznawanie linii papilarnych, geometrii dłoni, pisma, twarzy, wzoru tęczówki oraz siatkówki.

EN

The term of biometry is explained in this work. Some biometrics features are described. Systems for recognition of fingerprints, facial features, palm crease patterns, hand writing, iris and retina patterns are shortly presented.