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    Wyświetlanie 1-5 z 5
    Tytuł:
    A new hand-movement-based authentication method using feature importance selection with the hotelling’s statistic
    Autorzy:
    Doroz, Rafal
    Wrobel, Krzysztof
    Porwik, Piotr
    Orczyk, Tomasz
    Powiązania:
    https://bibliotekanauki.pl/articles/2147116.pdf
    Data publikacji:
    2022
    Wydawca:
    Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
    Tematy:
    biometrics
    person authentication
    feature selection
    Hotelling’s statistic
    Opis:
    The growing amount of collected and processed data means that there is a need to control access to these resources. Very often, this type of control is carried out on the basis of biometric analysis. The article proposes a new user authentication method based on a spatial analysis of the movement of the finger’s position. This movement creates a sequence of data that is registered by a motion recording device. The presented approach combines spatial analysis of the position of all fingers at the time. The proposed method is able to use the specific, often different movements of fingers of each user. The experimental results confirm the effectiveness of the method in biometric applications. In this paper, we also introduce an effective method of feature selection, based on the Hotelling T2 statistic. This approach allows selecting the best distinctive features of each object from a set of all objects in the database. It is possible thanks to the appropriate preparation of the input data.
    Źródło:
    Journal of Artificial Intelligence and Soft Computing Research; 2022, 12, 1; 41--59
    2083-2567
    2449-6499
    Pojawia się w:
    Journal of Artificial Intelligence and Soft Computing Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Deep features extraction for robust fingerprint spoofing attack detection
    Autorzy:
    Souza de, Gustavo Botelho
    Silva Santos da, Daniel Felipe
    Gonçalves Pires, Rafael
    Nilceu Marana, Aparecido
    Paulo Papa, Joao
    Powiązania:
    https://bibliotekanauki.pl/articles/91725.pdf
    Data publikacji:
    2019
    Wydawca:
    Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
    Tematy:
    restricted Boltzmann Machines
    Deep Boltzmann Machines
    deep learning
    fingerprint spoofing detection
    biometrics
    Opis:
    Biometric systems have been widely considered as a synonym of security. However, in recent years, malicious people are violating them by presenting forged traits, such as gelatin fingers, to fool their capture sensors (spoofing attacks). To detect such frauds, methods based on traditional image descriptors have been developed, aiming liveness detection from the input data. However, due to their handcrafted approaches, most of them present low accuracy rates in challenging scenarios. In this work, we propose a novel method for fingerprint spoofing detection using the Deep Boltzmann Machines (DBM) for extraction of high-level features from the images. Such deep features are very discriminative, thus making complicated the task of forgery by attackers. Experiments show that the proposed method outperforms other state-of-the-art techniques, presenting high accuracy regarding attack detection
    Źródło:
    Journal of Artificial Intelligence and Soft Computing Research; 2019, 9, 1; 41-49
    2083-2567
    2449-6499
    Pojawia się w:
    Journal of Artificial Intelligence and Soft Computing Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    On-line signature partitioning using a population based algorithm
    Autorzy:
    Zalasiński, Marcin
    Łapa, Krystian
    Cpałka, Krzysztof
    Przybyszewski, Krzysztof
    Yen, Gary G.
    Powiązania:
    https://bibliotekanauki.pl/articles/91729.pdf
    Data publikacji:
    2020
    Wydawca:
    Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
    Tematy:
    on-line signature
    biometrics
    signature partitioning
    population-based algorithm
    podpis on-line
    biometria
    partycjonowanie sygnatur
    algorytm populacyjny
    Opis:
    The on-line signature is a biometric attribute which can be used for identity verification. It is a very useful characteristic because it is commonly accepted in societies across the world. However, the verification process using this particular biometric feature is a rather difficult one. Researchers working on identity verification involving the on-line signature might face various problems, including the different discriminative power of signature descriptors, the problem of a large number of descriptors, the problem of descriptor generation, etc. However, population-based algorithms (PBAs) can prove very useful when resolving these problems. Hence, we propose a new method for on-line signature partitioning using a PBA in order to improve the verification process effectiveness. Our method uses the Differential Evolution algorithm with a properly defined evaluation function for creating the most characteristic partitions of the dynamic signature. We present simulation results of the proposed method for the BioSecure DS2 database distributed by the BioSecure Association.
    Źródło:
    Journal of Artificial Intelligence and Soft Computing Research; 2020, 10, 1; 5-13
    2083-2567
    2449-6499
    Pojawia się w:
    Journal of Artificial Intelligence and Soft Computing Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An algorithm for the evolutionary-fuzzy generation of on-line signature hybrid descriptors
    Autorzy:
    Zalasiński, Marcin
    Cpałka, Krzysztof
    Laskowski, Łukasz
    Wunsch II, Donald C.
    Przybyszewski, Krzysztof
    Powiązania:
    https://bibliotekanauki.pl/articles/1837539.pdf
    Data publikacji:
    2020
    Wydawca:
    Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
    Tematy:
    biometrics
    on-line signature
    dynamic signature
    dynamic signature verification
    evolutionary-fuzzy signature partitioning
    horizontal partitioning
    vertical partitioning
    Opis:
    In biometrics, methods which are able to precisely adapt to the biometric features of users are much sought after. They use various methods of artificial intelligence, in particular methods from the group of soft computing. In this paper, we focus on on-line signature verification. Such signatures are complex objects described not only by the shape but also by the dynamics of the signing process. In standard devices used for signature acquisition (with an LCD touch screen) this dynamics may include pen velocity, but sometimes other types of signals are also available, e.g. pen pressure on the screen surface (e.g. in graphic tablets), the angle between the pen and the screen surface, etc. The precision of the on-line signature dynamics processing has been a motivational springboard for developing methods that use signature partitioning. Partitioning uses a well-known principle of decomposing the problem into smaller ones. In this paper, we propose a new partitioning algorithm that uses capabilities of the algorithms based on populations and fuzzy systems. Evolutionary-fuzzy partitioning eliminates the need to average dynamic waveforms in created partitions because it replaces them. Evolutionary separation of partitions results in a better matching of partitions with reference signatures, eliminates disproportions between the number of points describing dynamics in partitions, eliminates the impact of random values, separates partitions related to the signing stage and its dynamics (e.g. high and low velocity of signing, where high and low are imprecise-fuzzy concepts). The operation of the presented algorithm has been tested using the well-known BioSecure DS2 database of real dynamic signatures.
    Źródło:
    Journal of Artificial Intelligence and Soft Computing Research; 2020, 10, 3; 173-187
    2083-2567
    2449-6499
    Pojawia się w:
    Journal of Artificial Intelligence and Soft Computing Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Temporal analysis of adaptive face recognition
    Autorzy:
    Akhtar, Z.
    Rattani, A.
    Foresti, G. L.
    Powiązania:
    https://bibliotekanauki.pl/articles/91602.pdf
    Data publikacji:
    2014
    Wydawca:
    Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
    Tematy:
    aging process
    facial biometrics
    virtual template synthesis
    complex 3D modelling techniques
    temporal variation
    query data
    facial representation
    facial age progression process
    Opis:
    Aging has profound effects on facial biometrics as it causes change in shape and texture. However, aging remains an under-studied problem in comparison to facial variations due to pose, illumination and expression changes. A commonly adopted solution in the state-of-the-art is the virtual template synthesis for aging and de-aging transformations involving complex 3D modelling techniques. These methods are also prone to estimation errors in the synthesis. Another viable solution is to continuously adapt the template to the temporal variation (ageing) of the query data. Though efficacy of template update procedures has been proven for expression, lightning and pose variations, the use of template update for facial aging has not received much attention so far. Therefore, this paper first analyzes the performance of existing baseline facial representations, based on local features, under ageing effect then investigates the use of template update procedures for temporal variance due to the facial age progression process. Experimental results on FGNET and MORPH aging database using commercial VeriLook face recognition engine demonstrate that continuous template updating is an effective and simple way to adapt to variations due to the aging process.
    Źródło:
    Journal of Artificial Intelligence and Soft Computing Research; 2014, 4, 4; 43-255
    2083-2567
    2449-6499
    Pojawia się w:
    Journal of Artificial Intelligence and Soft Computing Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-5 z 5

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