Wyniki wyszukiwania - BazTech

1

Verification of people based on palm vein with the ROI automatic appointment

Smorawa D.

Journal of Applied Mathematics and Computational Mechanics

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2016

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Vol. 15, nr 3

123--133

EN

In the paper, the new approach to identification and verification of people based on the palm vein pattern will be presented. To create the feature vector, palm vein shape geometric arrangement will be applied. For detailed features will be considered similarly to minutiae which was applied in finger lines analysis in vein endings and bifurcation. The methods of vein location on the inner hand, methods of minutiae location, and features coding will be discussed in detail. To extract specific features a two-dimension density function will be used. The method to determine minutiae-vein bifurcation and endings will be presented.

2

Comparison of global methods for the image contrast enhancement based on biometric images

Smorawa D., Kubanek M.

Journal of Applied Mathematics and Computational Mechanics

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2016

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Vol. 15, nr 2

137--146

EN

This work presents the methods of improvement of biometric images contrast, and it corresponds to one of the main parts of the biometric system that verify identities based on distribution of the blood vessels in a hand. The acquisition of the palm blood vessel pattern causes noises that can prevent the right verification. To solve this problem, we investigate four different methods of contrast enhancement, and provide an evaluation of their performance by using four different quantitative contrast measurement methods.

3

Biometric Systems Based on Palm Vein Patterns

Smorawa D., Kubanek M.

Journal of Telecommunications and Information Technology

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2015

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nr 2

18--22

EN

The work covers issues related to the design of biometric systems based on the hand vascular pattern. The study includes analysis of various stages of biometric systems design ranging from acquisition, feature extraction and biometric pattern creation for verification methods. The extraction methods based on two-dimensional density function and the extraction of the characteristic points - minutiae are presented. The article features the results of tests carried out on two different bases of blood vessels in a hand.

4

Analysis of advanced techniques of image processing based on automatic detection system and road sings recognition

Smorawa D., Kubanek M.

Journal of Applied Mathematics and Computational Mechanics

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2014

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Vol. 13, nr 1

103--113

EN

This paper describes implementations of the Hough Circle Transform and the Radon Line Transform. The presented transforms were used to build a system for identifying road signs from selected images and recordings. This can be very important and especially useful for monitoring and prevention in driver assistance systems. The design of our system assumed that the objects should be found automatically from images or video sequence. Furthermore, the detection was based on the shapes of common traffic signs which correspond to used transforms. Additionally, the Huffman method was applied to encode the data before being compared. Consequently, the traffic signs were matched directly with the Euclidean distance.

5

Wykorzystanie ukrytych modeli Markowa przy weryfikacji tożsamości na podstawie asymetrii twarzy

Kubanek M., Smorawa D.

Studia i Materiały / Europejska Uczelnia Informatyczno-Ekonomiczna w Warszawie

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2013

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Nr 1(5)

15-39

PL

Praca dotyczy wykorzystania cech biometrycznych, wynikających z wyglądu twarzy, do celów weryfikacyjnych. Opisano w niej różne metody doboru i analizy cech podczas rozpoznawania twarzy. Zamieszczony opis zawiera przede wszystkim możliwość analizy, a w późniejszych etapach – weryfikacji tożsamości na podstawie cech asymetrycznych twarzy. Zaproponowano nową metodę weryfikacji na podstawie wyznaczonych punktów charakterystycznych, bazującą na odpowiednim zakodowaniu informacji o asymetrii twarzy w postaci wektorów obserwacji i rozpoznawaniu z wykorzystaniem ukrytych modeli Markowa.

EN

The research refers to making use of biometrical features, beeing result of the look of the face, for the verification purposes. Different methods of collecting and analysing of features during face recognition, have been described. Presented description conveys first of all the analyse possibility and in the further stages – identity verification on the basis of face assymetry. The new method of verification has been proposed, taking into account chosen characteristic poins, being based on proper information code concerning face assymetry, represented by both – observation vectors and recognition, with the use of hidden Markow’s models.