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A Hybrid System of Signature Recognition Using Video and Similarity Measures

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Hybrid Artificial Intelligence Systems (HAIS 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8480))

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Abstract

The method proposed in this paper uses signatures recorded with the use of four webcams. In the method a different sets of signature features and similarity measures can be used. Additionally, the influence of individual features on the signature similarity value has been examined. Practical experiments were also conducted with the own signatures’ database and confirmed that results obtained are promising.

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Author information

Authors and Affiliations

  1. Institute of Computer Science, University of Silesia, ul. Bedzinska 39, 41-200, Sosnowiec, Poland

    Rafal Doroz, Krzysztof Wrobel & Mateusz Watroba

Authors
  1. Rafal Doroz
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  2. Krzysztof Wrobel
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  3. Mateusz Watroba
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Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Cyprus, 75 Kallipoleos Avenue, 1678, Nicosia, Cyprus

    Marios Polycarpou

  2. Department of Computer Science, University of Sao Paulo at Sao Carlos, Sao Carlos, SP, Brazil

    André C. P. L. F. de Carvalho

  3. Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, No. 415, Chien Kung Road, 80778, Kaohsiung, Taiwan

    Jeng-Shyang Pan

  4. Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Michał Woźniak

  5. University of Salamanca, Plaza de la Merced S/N, 37008 Salamanca, Spain and University of A Coruna, Escuela Universitaria Politecnica, Departamento de Enxeñeria Industrial, A Coruna, Spain

    Héctor Quintian

  6. University of Salamanca, Plaza de la Merced S/N, 37008, Salamanca, Spain

    Emilio Corchado

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© 2014 Springer International Publishing Switzerland

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Doroz, R., Wrobel, K., Watroba, M. (2014). A Hybrid System of Signature Recognition Using Video and Similarity Measures. In: Polycarpou, M., de Carvalho, A.C.P.L.F., Pan, JS., Woźniak, M., Quintian, H., Corchado, E. (eds) Hybrid Artificial Intelligence Systems. HAIS 2014. Lecture Notes in Computer Science(), vol 8480. Springer, Cham. https://doi.org/10.1007/978-3-319-07617-1_19

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  • DOI: https://doi.org/10.1007/978-3-319-07617-1_19

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07616-4

  • Online ISBN: 978-3-319-07617-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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