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Wyszukujesz frazę "hidden signature" wg kryterium: Temat


Wyświetlanie 1-3 z 3
Tytuł:
Hidden Signature for DTW Signature Verification in Authorizing Payment Transactions
Autorzy:
Putz-Leszczyńska, J.
Kudelski, M.
Powiązania:
https://bibliotekanauki.pl/articles/308543.pdf
Data publikacji:
2010
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
dynamic time warping
hidden signature
payment transactions
signature verification
Opis:
Traditional use of dynamic time warping for signature verification consists of forming some dissimilarity measure between the signature in question and a set of "template signatures". In this paper, we propose to replace this set with the hidden signature and use it to calculate the normalized errors of signature under verification. The approach was tested on the MCYT database, using both genuine signatures and skilled forgeries. Moreover, we present the real-world application of the proposed algorithm, namely the complete biometric system for authorizing payment transactions. The authorization is performed directly at a point of sale by the automatic signature verification system based on the hidden signature.
Źródło:
Journal of Telecommunications and Information Technology; 2010, 4; 59-67
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Signature verification: A comprehensive study of the hidden signature method
Autorzy:
Putz-Leszczyńska, J.
Powiązania:
https://bibliotekanauki.pl/articles/331346.pdf
Data publikacji:
2015
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
signature verification
online recognition
time warping
hidden signature
weryfikacja podpisu
rozpoznawanie online
podpis ukryty
Opis:
Many handwritten signature verification algorithms have been developed in order to distinguish between genuine signatures and forgeries. An important group of these methods is based on dynamic time warping (DTW). Traditional use of DTW for signature verification consists in forming a misalignment score between the verified signature and a set of template signatures. The right selection of template signatures has a big impact on that verification. In this article, we describe our proposition for replacing the template signatures with the hidden signature—an artificial signature which is created by minimizing the mean misalignment between itself and the signatures from the enrollment set. We present a few hidden signature estimation methods together with their comprehensive comparison. The hidden signature opens a number of new possibilities for signature analysis. We apply statistical properties of the hidden signature to normalize the error signal of the verified signature and to use the misalignment on the normalized errors as a verification basis. A result, we achieve satisfying error rates that allow creating an on-line system, ready for operating in a real-world environment.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2015, 25, 3; 659-674
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Using hidden Markov models in signature recognition process
Autorzy:
Doroz, R.
Wróbel, K.
Powiązania:
https://bibliotekanauki.pl/articles/333622.pdf
Data publikacji:
2012
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
rozpoznawanie podpisu
ukryte modele Markowa
signature recognition
hidden Markov models
Opis:
This paper presents a method of recognition of handwritten signatures with the use of Hidden Markov Models (HMM). The method in question consists in describing each signature with a sequence of symbols. Sequences of symbols were generated on the basis of an analysis of local extremes determined on diagrams of dynamic features of signatures. For this purpose, the method proposed by G.K. Gupta and R.C. Joyce has been modified. The determined sequences were then used as input data for the HMM method. The studies were conducted with the use of the SVC2004 database. The results are competitive in relation to other methods known from the literature.
Źródło:
Journal of Medical Informatics & Technologies; 2012, 21; 75-84
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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