Temat: IRIS - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Iris identification method using only a section of the pattern
Autorzy:: Bobulski, J.
Powiązania:: https://bibliotekanauki.pl/articles/174981.pdf
Data publikacji:: 2018
Wydawca:: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:: biometrics
iris recognition
iris pattern extraction
Opis:: Iris based authentication methods are popular due to their reliability and dependability. This paper proposes the method of the iris recognition that instead uses only two fragments of the pattern. The presented method allows for a simpler iris extraction, as it does not use a complex conversion of an iris pattern from a circular to rectangular shape. The results obtained from this experiment show similarities to other previous ones. Importantly, the proposed method may be treated as an alternative solution. The experiment confirmed the validity of the concept for the proposed iris recognition method. Moreover, this method is quicker in comparison to the others. The additional merit of the proposed solution is the elimination of the distortion which comes from the eyelids and eyelashes at the beginning of the iris image processing. Moreover, this method does not require using additional techniques to eliminate disturbances.
Źródło:: Optica Applicata; 2018, 48, 1; 149-160
0078-5466
1899-7015
Pojawia się w:: Optica Applicata
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Robust and Accurate Iris Segmentation Algorithm for Color and Noisy Eye Images
Autorzy:: Strzelczyk, P.
Powiązania:: https://bibliotekanauki.pl/articles/308523.pdf
Data publikacji:: 2010
Wydawca:: Instytut Łączności - Państwowy Instytut Badawczy
Tematy:: biometrics
image segmentation
iris recognition
Opis:: Efficient and robust segmentation of iris images captured in the uncontrolled environments is one of the challenges of non-cooperative iris recognition systems. We address this problem by proposing a novel iris segmentation algorithm, which is suitable both for monochrome and color eye images. The method presented use modified Hough transform to roughly localize the possible iris and pupil boundaries, approximating them by circles. A voting mechanisms is applied to select a candidate iris regions. The detailed iris boundary is approximated by the spline curve. Its shape is determined by minimizing introduced boundary energy function. The described algorithm was submitted to the NICE.I iris image segmentation contest, when it was ranked 11th and 10th out of total 97.
Źródło:: Journal of Telecommunications and Information Technology; 2010, 4; 5-9
1509-4553
1899-8852
Pojawia się w:: Journal of Telecommunications and Information Technology
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Privacy Preserving and Secure Iris-Based Biometric Authentication for Computer Networks
Autorzy:: Strzelczyk, P.
Powiązania:: https://bibliotekanauki.pl/articles/308388.pdf
Data publikacji:: 2011
Wydawca:: Instytut Łączności - Państwowy Instytut Badawczy
Tematy:: authentication
biometrics
iris recognition
privacy preserving
Opis:: The iris biometrics is considered one of the most accurate and robust methods of the identity verification. The unique iris features of an individual can be presented in a compact binary form which can be easily compared with the reference template to confirm identity. However in contrast to passwords and PINs biometric authentication factors cannot be revoked and changed as they are inherently connected to our characteristics. Once the biometric information is compromised or disclosed it became useless for the purpose of authentication. Therefore there is a need to perform iris features matching without revealing the features itself and the reference template. We propose an extension of the standard irisbased verification protocol which introduces a features and template locking mechanism, which guarantee that no sensitive information is exposed. Presented solutions can be easily integrated into authentication mechanisms used in modern computer networks.
Źródło:: Journal of Telecommunications and Information Technology; 2011, 4; 115-118
1509-4553
1899-8852
Pojawia się w:: Journal of Telecommunications and Information Technology
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Iris Recognition System Based on Zak-Gabor Wavelet Packets
Autorzy:: Czajka, A.
Pacut, A.
Powiązania:: https://bibliotekanauki.pl/articles/308521.pdf
Data publikacji:: 2010
Wydawca:: Instytut Łączności - Państwowy Instytut Badawczy
Tematy:: biometrics
iris recognition
Zak-Gabor transform
Opis:: The paper proposes a new iris coding method based on Zak-Gabor wavelet packet transform. The essential component of the iris recognition methodology design is an effective adaptation of the transformation parameters that makes the coding sensitive to the frequencies characterizing ones eye. We thus propose to calculate the between-to-within class ratio of weakly correlated Zak-Gabor transformation coefficients allowing for selection the frequencies the most suitable for iris recognition. The Zak-Gabor-based coding is non-reversible, i.e., it is impossible to reconstruct the original iris image given the iris template. Additionally, the inference about the iris image properties from the Zak-Gabor-based code is limited, providing a possibility to embed the biometric replay attack prevention methodology into the coding. We present the final prototype system design, including the hardware, and evaluate its performance using the database of 720 iris images.
Źródło:: Journal of Telecommunications and Information Technology; 2010, 4; 10-18
1509-4553
1899-8852
Pojawia się w:: Journal of Telecommunications and Information Technology
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Cross Entropy Clustering Approach to Iris Segmentation for Biometrics Purpose
Autorzy:: Misztal, Krzysztof
Saeed, Emil
Saeed, Khalid
Spurek, Przemysław
Tabor, Jacek
Powiązania:: https://bibliotekanauki.pl/articles/1373709.pdf
Data publikacji:: 2015
Wydawca:: Uniwersytet Jagielloński. Wydawnictwo Uniwersytetu Jagiellońskiego
Tematy:: CEC
cross entropy clustering
iris recognition
biometrics
Opis:: This work presents the step by step tutorial for how to use cross entropy clustering for the iris segmentation. We present the detailed construction of a suitable Gaussian model which best fits for in the case of iris images, and this is the novelty of the proposal approach. The obtained results are promising, both pupil and iris are extracted properly and all the information necessary for human identification and verification can be extracted from the found parts of the iris.
Źródło:: Schedae Informaticae; 2015, 24; 31-40
0860-0295
2083-8476
Pojawia się w:: Schedae Informaticae
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Cross-spectral Iris Recognition for Mobile Applications using High-quality Color Images
Autorzy:: Trokielewicz, M.
Bartuzi, E.
Powiązania:: https://bibliotekanauki.pl/articles/309349.pdf
Data publikacji:: 2016
Wydawca:: Instytut Łączności - Państwowy Instytut Badawczy
Tematy:: biometrics
cross-spectral
iris recognition
mobile technologies
smartphones
Opis:: With the recent shift towards mobile computing, new challenges for biometric authentication appear on the horizon. This paper provides a comprehensive study of cross-spectral iris recognition in a scenario, in which high quality color images obtained with a mobile phone are used against enrollment images collected in typical, near-infrared setups. Grayscale conversion of the color images that employs selective RGB channel choice depending on the iris coloration is shown to improve the recognition accuracy for some combinations of eye colors and matching software, when compared to using the red channel only, with equal error rates driven down to as low as 2%. The authors are not aware of any other paper focusing on cross-spectral iris recognition is a scenario with near-infrared enrollment using a professional iris recognition setup and then a mobile-based verication employing color images.
Źródło:: Journal of Telecommunications and Information Technology; 2016, 3; 91-97
1509-4553
1899-8852
Pojawia się w:: Journal of Telecommunications and Information Technology
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: Generating Synthetic Iris Images for Testing Biometric Systems
Generowanie syntetycznych obrazów tęczówek dla celów testowania systemów biometrycznych
Autorzy:: Kasperuk, Ł.
Tabędzki, M.
Powiązania:: https://bibliotekanauki.pl/articles/88416.pdf
Data publikacji:: 2018
Wydawca:: Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
Tematy:: tęczówka
biometria
system biometryczny
iris
biometrics
biometric system
Opis:: Usage of biometric methods of person identification has recently become quite popular. Many developers are working on new biometric systems which have to be tested using biometric data. This work proposes the ways of generating synthetic biometric data designed for testing of iris based biometric systems. Two iris texture generation methods are presented here – one is based on Perlin noise, the other on the image quilting algorithm. Also a hybrid approach combining both methods is presented. The results of tests were also presented to demonstrate the utility of images generated using these methods in testing biometric systems and the consistency of the results obtained with the results for real images.
Rośnie popularność stosowania metod biometrycznych w identyfikacji osób, wielu badaczy pracuje nad nowymi systemami, a wymaga to danych, na których można by je testować. W niniejszej pracy zaproponowano sposób generowania sztucznych danych biometrycznych dla potrzeb testowania systemów bazujących na biometrii tęczówki ludzkiego oka. Przedstawiono dwie metody – jedna bazuje na szumie Perlina, natomiast druga na algorytmie generowania tekstu image quilting. Przedstawiono również podejście hybrydowe, łączące obydwie metody. Zawarto również wyniki testów, mających pokazać użyteczność obrazów wygenerowanych przy pomocy zaproponowanych metod w opisywanym zastosowaniu. Pokazano również ich spójność i podobieństwo do prawdziwych danych.
Źródło:: Advances in Computer Science Research; 2018, 14; 69-86
2300-715X
Pojawia się w:: Advances in Computer Science Research
Dostawca treści:: Biblioteka Nauki

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