Improving Presentation Attack Detection in Dynamic Handwritten Signature Biometrics | Zendy

Raul Sanchez-Reillo | Zendy; Helga C. Quiros-Sandoval | Zendy; Ines Goicoechea-Telleria | Zendy; Wendy Ponce-Hernandez | Zendy

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Improving Presentation Attack Detection in Dynamic Handwritten Signature Biometrics

Author(s) -

Raul Sanchez-Reillo,

Helga C. Quiros-Sandoval,

Ines Goicoechea-Telleria,

Wendy Ponce-Hernandez

Publication year - 2017

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2017.2755771

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

Handwritten signature recognition is a biometric mode that has started to be deployed. Therefore, it is necessary to analyze the robustness of the recognition process against presentation attacks, to find its vulnerabilities. Using the results of a previous work, the vulnerabilities are detected and two presentation attack detection techniques have been implemented. With such implementations, a new evaluation has been performed, showing an improvement in the performance. Error rates have been lowered from about 20% to below 3% under operational conditions.

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