Wyniki wyszukiwania - BazTech

1

Wybrane metody rozpoznawania osób na podstawie odcisków palców

Grad Leszek

Przegląd Teleinformatyczny

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2020

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T. 8, Nr 1-4 (26)

59--74

PL

W artykule przedstawiono zagadnienie rozpoznawania tożsamości osób na podstawie odcisków palców. Przedstawiono aktualny stan wiedzy, wybrane metody i techniki zarówno opisu obrazu linii papilarnych, jak i metody klasyfikacji.

EN

The paper considers the issue of the identity recognition of persons on the basis of fingerprints. The current state of knowledge, selected methods and techniques of fingerprint image description and classification methods are presented.

2

An accurate fingerprint reference point determination method based on curvature estimation of separated ridges

Doroz R., Wrobel K., Porwik P.

International Journal of Applied Mathematics and Computer Science

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2018

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Vol. 28, no. 1

209--225

EN

This paper presents an effective method for the detection of a fingerprint’s reference point by analyzing fingerprint ridges’ curvatures. The proposed approach is a multi-stage system. The first step extracts the fingerprint ridges from an image and transforms them into chains of discrete points. In the second step, the obtained chains of points are processed by a dedicated algorithm to detect corners and other points of highest curvature on their planar surface. In a series of experiments we demonstrate that the proposed method based on this algorithm allows effective determination of fingerprint reference points. Furthermore, the proposed method is relatively simple and achieves better results when compared with the approaches known from the literature. The reference point detection experiments were conducted using publicly available fingerprint databases FVC2000, FVC2002, FVC2004 and NIST.

3

Gradient based fingerprint orientation field estimation

Wieclaw L.

Journal of Medical Informatics & Technologies

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2013

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Vol. 22

203--207

EN

Accurate estimation of ridge orientation is a critical step in image preprocessing methods used in automatic fingerprint identification systems (AFIS). Fingerprint orientation plays important roles in fingerprint enhancement, classification and recognition. The most popular is gradient-based method. This paper reviews the algorithm parameters, determining the compromise between accuracy in high-curvature areas and robustness against noise.

4

The pixel alignment based algorithm for continuous orientation field estimation

Więcław Ł., Porwik P.

Journal of Medical Informatics & Technologies

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2010

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Vol. 15

47--52

EN

This paper presents a new estimation method of fingerprint orientation field. An accurate estimation of fingerprint orientation fields is an essential step in automatic fingerprint recognition systems (AFIS). Most popular, gradient-based method is very sensitive to noise (image quality). Proposed algorithm is a modification of, more resistant to noise, mask-based method, which provides orientation limited to discrete values. This modification is based on aggregation of pixel values differentiation and was used to more precise estimation of magnitude of orientation vectors. This approach allows to obtain a continuous values of orientation field still maintaining robust to noise.

5

Przetwarzanie obrazów daktyloskopijnych w systemach automatycznych identyfikacji człowieka

Selianinov M.

Prace Naukowe Akademii im. Jana Długosza w Częstochowie. Edukacja Techniczna i Informatyczna

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2008

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T. 3

133-142

EN

In article questions of processing of dactyloscopic images in the automated systems of identification of the person are considered. The basic stages of processing of the information containing in fingerprints are in detail described.

6

Response Integration in Ensemble Neural Networks using The Sugeno Integral and Fuzzy Inference System for Pattern Recognition

Lopez M., Melin P.

Journal of Automation Mobile Robotics and Intelligent Systems

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2008

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Vol. 2, No. 1

52-58

EN

Combining the outputs of multiple neural networks has been used in Ensemble architectures to improve the decision accuracy in many applications fields, including pattern recognition, in particular for the case of fingerprints. In this paper, we describe a set of experiments performed in order to find the optimal individual networks in terms of the architecture and training rule. In the second step, we used the fuzzy Sugeno Integral to integrate results of the ensemble neural networks. This method combines objective evidence in the form of the network's outputs, with subjective measures of their performance. In the third step, we used a Fuzzy Inference System for the decision process of finding the output of the ensemble neural networks, and finally a comparison of experimental results between Fuzzy Sugeno Integral and the Fuzzy Inference System are presented.

7

Biometryczne systemy kontroli dostępu

Kaźmierowski K.

Rynek Energii

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2007

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nr 3

33-36

PL

Niniejszy artykuł opisuje systemy kontroli dostępu bazujące na technologiach biometrycznych, znajdujące się w ofercie Polskich Sieci Elektroenergetycznych - INFO Sp. z o.o. Biometryczne systemy kontroli dostępu gwarantują najwyższy poziom bezpieczeństwa w powiązaniu z wygodą użytkowania (brak konieczności posiadania kart zbliżeniowych). W chwili obecnej systemy biometryczne mogą być używane jako kontrola dostępu do pomieszczeń, zabezpieczenie komputerów, systemy rejestracji czasu pracy. W artykule zostały opisane techniki identyfikacji użytkowników bazujące na rozpoznawaniu tęczówki oka, geometrii dłoni i linii papilarnych. Przedstawione zostały również urządzenia wykonujące identyfikację każdą w wyżej wymienionych technik.

EN

The following article describes biometric access control systems that are offered by Polskie Sieci Elektroenergetyczne - INFO Sp. z o.o. These systems guarantees the highest security level in connection with usage convenience (there is no need to posses ID cards). At present, biometric solutions are used as access control systems, IT security, time-attendance solutions. This article introduces techniques of people identification based on iris recognition, hand geometry and fingerprint recognition. There are also described products that are used in mentioned above identification methods.