Wszystkie pola: Biometrics - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Person verification based on keystroke dynamics
Autorzy:: Doroz, R.
Porwik, P.
Safaverdi, H.
Powiązania:: https://bibliotekanauki.pl/articles/334042.pdf
Data publikacji:: 2015
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: keystroke dynamics
ensemble of classifiers
biometrics
dynamika pisania na klawiaturze
zespół klasyfikatorów
biometria
Opis:: This paper presents a new multilayer ensemble of classifiers for users verification who use computer keyboard. The special keyboard extracts the key pressure and latency between keyboard keys pressed during password entered. When user is typing password the system creates a pattern based on time and key pressure. For users verification group of classifiers have been proposed. It allows to obtain the higher accuracy level compared to alternative techniques. The efficiency of the proposed method has been confirmed in the experiments carried out.
Źródło:: Journal of Medical Informatics & Technologies; 2015, 24; 39-44
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Personal identity verification method based on lips photographs
Autorzy:: Wrobel, K.
Doroz, R.
Porwik, P.
Naruniec, J.
Kowalski, M.
Powiązania:: https://bibliotekanauki.pl/articles/333548.pdf
Data publikacji:: 2015
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: biometrics
lip features
data classification
biometria
cechy wargi
klasyfikacja danych
Opis:: The paper presents a personal identification method based on lips photographs. This method uses a new approach to the extraction and classification of characteristic features of the mouth from photographs. It eliminates the drawbacks that occur during the acquisition of lip print images with the use of the forensic method that requires special tools. Geometrical dimensions of the entire mouth as well as of the upper and lower lips were adopted as the features, on the basis of which the verification is performed. An ensemble classifier was used for the classification of the features obtained. The effectiveness of the classifier has been verified experimentally.
Źródło:: Journal of Medical Informatics & Technologies; 2015, 24; 59-65
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: The lip print recognition using Hough transform
Autorzy:: Smacki, Ł.
Porwik, P.
Tomaszycki, K.
Kwarcińska, S.
Powiązania:: https://bibliotekanauki.pl/articles/333892.pdf
Data publikacji:: 2010
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: rozpoznawanie ludzkich ust
cheiloskopia
dane biometryczne
przekształcanie Hougha
wydruk wargi
human lips recognition
cheiloskopy
biometrics
Hough transform
lip print
Opis:: This paper presents the new method of lip print recognition. Lip print analysis is based on sulcus-topology features manifested on human lips. The structure of the characteristic lip lines is transformed to a digital image and classified using the Hough transformation. The proposed algorithm gives good level of recognition accuracy and can be used in biometric applications and applied in forensic services.
Źródło:: Journal of Medical Informatics & Technologies; 2010, 14; 31-38
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Biometric recognition system based on the motion of the human body gravity centre analysis
Autorzy:: Porwik, P.
Zyguła, J.
Doroz, R.
Proksa, R.
Powiązania:: https://bibliotekanauki.pl/articles/333932.pdf
Data publikacji:: 2010
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: dane biometryczne
środek ciężkości
podpis
rozpoznawanie
biometrics
centre of gravity
signature
recognition
Opis:: In this paper we present a novel approach that enables the determination and measurement of important features associated with the human body movement. This information can be used in the construction of a biometric personal identification system. Biometrics is, essentially, a pattern recognition system based on measurements of unique physiological or behavioural features as acquired from an individual. The domain of biometric techniques is currently placed within recently developed disciplines of science. Biometry or biometrics is simply defined as automatically recognizing a person using distinguishing traits and is widely used in various security systems. Biometry can be defined as a method of personal identification based on individuals' physical and behavioural features. Physiological biometrics covers data coming directly from a measurement of part of a human body, for example a fingerprint, the shape of the face, or from the retina. Behavioural biometrics analyses data obtained on the basis of an activity performed by a given person, for example speech and the handwritten signature. The system of biometrics defined above can now be expanded, and a new biometrics system can be considered. In our approach, human foot pressure on a surface is measured and the pressure data retrieved. The pressure parameters are collected without the necessity of any movements of the feet.
Źródło:: Journal of Medical Informatics & Technologies; 2010, 15; 61-69
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: An accurate fingerprint reference point determination method based on curvature estimation of separated ridges
Autorzy:: Doroz, R.
Wrobel, K.
Porwik, P.
Powiązania:: https://bibliotekanauki.pl/articles/331403.pdf
Data publikacji:: 2018
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: biometrics
image processing
fingerprint recognition
Kolmogorov–Smirnov statistical test
reference point
biometria
przetwarzanie obrazu
rozpoznawanie linii papilarnych
test statystyczny
punkt odniesienia
Opis:: 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.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2018, 28, 1; 209-225
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

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