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On-Line Signature Partitioning Using a Population Based Algorithm
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| Zeitschriftentitel: | Journal of Artificial Intelligence and Soft Computing Research |
|---|---|
| Personen und Körperschaften: | , , , , |
| In: | Journal of Artificial Intelligence and Soft Computing Research, 10, 2020, 1, S. 5-13 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Walter de Gruyter GmbH
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| Schlagwörter: |
| author_facet |
Zalasiński, Marcin Łapa, Krystian Cpałka, Krzysztof Przybyszewski, Krzysztof Yen, Gary G. Zalasiński, Marcin Łapa, Krystian Cpałka, Krzysztof Przybyszewski, Krzysztof Yen, Gary G. |
|---|---|
| author |
Zalasiński, Marcin Łapa, Krystian Cpałka, Krzysztof Przybyszewski, Krzysztof Yen, Gary G. |
| spellingShingle |
Zalasiński, Marcin Łapa, Krystian Cpałka, Krzysztof Przybyszewski, Krzysztof Yen, Gary G. Journal of Artificial Intelligence and Soft Computing Research On-Line Signature Partitioning Using a Population Based Algorithm Artificial Intelligence Computer Vision and Pattern Recognition Hardware and Architecture Modeling and Simulation Information Systems |
| author_sort |
zalasiński, marcin |
| spelling |
Zalasiński, Marcin Łapa, Krystian Cpałka, Krzysztof Przybyszewski, Krzysztof Yen, Gary G. 2083-2567 Walter de Gruyter GmbH Artificial Intelligence Computer Vision and Pattern Recognition Hardware and Architecture Modeling and Simulation Information Systems http://dx.doi.org/10.2478/jaiscr-2020-0001 <jats:title>Abstract</jats:title> <jats:p>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.</jats:p> On-Line Signature Partitioning Using a Population Based Algorithm Journal of Artificial Intelligence and Soft Computing Research |
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| title |
On-Line Signature Partitioning Using a Population Based Algorithm |
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On-Line Signature Partitioning Using a Population Based Algorithm |
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On-Line Signature Partitioning Using a Population Based Algorithm |
| title_fullStr |
On-Line Signature Partitioning Using a Population Based Algorithm |
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On-Line Signature Partitioning Using a Population Based Algorithm |
| title_short |
On-Line Signature Partitioning Using a Population Based Algorithm |
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on-line signature partitioning using a population based algorithm |
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Artificial Intelligence Computer Vision and Pattern Recognition Hardware and Architecture Modeling and Simulation Information Systems |
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http://dx.doi.org/10.2478/jaiscr-2020-0001 |
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2020 |
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5-13 |
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<jats:title>Abstract</jats:title>
<jats:p>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.</jats:p> |
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| author_facet | Zalasiński, Marcin, Łapa, Krystian, Cpałka, Krzysztof, Przybyszewski, Krzysztof, Yen, Gary G., Zalasiński, Marcin, Łapa, Krystian, Cpałka, Krzysztof, Przybyszewski, Krzysztof, Yen, Gary G. |
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| description | <jats:title>Abstract</jats:title> <jats:p>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.</jats:p> |
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| spelling | Zalasiński, Marcin Łapa, Krystian Cpałka, Krzysztof Przybyszewski, Krzysztof Yen, Gary G. 2083-2567 Walter de Gruyter GmbH Artificial Intelligence Computer Vision and Pattern Recognition Hardware and Architecture Modeling and Simulation Information Systems http://dx.doi.org/10.2478/jaiscr-2020-0001 <jats:title>Abstract</jats:title> <jats:p>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.</jats:p> On-Line Signature Partitioning Using a Population Based Algorithm Journal of Artificial Intelligence and Soft Computing Research |
| spellingShingle | Zalasiński, Marcin, Łapa, Krystian, Cpałka, Krzysztof, Przybyszewski, Krzysztof, Yen, Gary G., Journal of Artificial Intelligence and Soft Computing Research, On-Line Signature Partitioning Using a Population Based Algorithm, Artificial Intelligence, Computer Vision and Pattern Recognition, Hardware and Architecture, Modeling and Simulation, Information Systems |
| title | On-Line Signature Partitioning Using a Population Based Algorithm |
| title_full | On-Line Signature Partitioning Using a Population Based Algorithm |
| title_fullStr | On-Line Signature Partitioning Using a Population Based Algorithm |
| title_full_unstemmed | On-Line Signature Partitioning Using a Population Based Algorithm |
| title_short | On-Line Signature Partitioning Using a Population Based Algorithm |
| title_sort | on-line signature partitioning using a population based algorithm |
| title_unstemmed | On-Line Signature Partitioning Using a Population Based Algorithm |
| topic | Artificial Intelligence, Computer Vision and Pattern Recognition, Hardware and Architecture, Modeling and Simulation, Information Systems |
| url | http://dx.doi.org/10.2478/jaiscr-2020-0001 |