25 November 2014 Age and gender-invariant features of handwritten signatures for verification systems
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Proceedings Volume 9290, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2014; 929021 (2014) https://doi.org/10.1117/12.2075160
Event: Symposium on Photonics Applications in Astronomy, Communications, Industry and High-Energy Physics Experiments, 2014, Warsaw, Poland
Abstract
Handwritten signature is one of the most natural biometrics, the study of human physiological and behavioral patterns. Behavioral biometrics includes signatures that may be different due to its owner gender or age because of intrinsic or extrinsic factors. This paper presents the results of the author’s research on age and gender influence on verification factors. The experiments in this research were conducted using a database that contains signatures and their associated metadata. The used algorithm is based on the universal forgery feature idea, where the global classifier is able to classify a signature as a genuine one or, as a forgery, without the actual knowledge of the signature template and its owner. Additionally, the reduction of the dimensionality with the MRMR method is discussed.
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Sura AbdAli, Sura AbdAli, Joanna Putz-Leszczynska, Joanna Putz-Leszczynska, } "Age and gender-invariant features of handwritten signatures for verification systems", Proc. SPIE 9290, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2014, 929021 (25 November 2014); doi: 10.1117/12.2075160; https://doi.org/10.1117/12.2075160
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