Improving Presentation Attack Detection in Dynamic Handwritten Signature Biometrics Articles uri icon

authors

  • SANCHEZ REILLO, RAUL
  • QUIROS SANDOVAL, HELGA CRISTINA
  • GOICOECHEA TELLERIA, INES
  • PONCE HERNANDEZ, WENDY

publication date

  • October 2017

start page

  • 20463

end page

  • 20469

volume

  • 5

International Standard Serial Number (ISSN)

  • 2169-3536

abstract

  • 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.

keywords

  • biometrics; dynamic analysis; handwritten signature; presentation attack detection; robustness evaluation