A Hybrid On/Off Line Handwritten Signature Verification System

  • Authors:
  • Alessandro Zimmer;Lee Luan Ling

  • Affiliations:
  • -;-

  • Venue:
  • ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
  • Year:
  • 2003

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Abstract

This paper proposes a new hybrid handwrittensignature verification system where the on-line referencedata acquired through a digitizing tablet serves as thebasis for the segmentation process of the correspondingscanned off-line data. Local foci of attention over theimage are determined through a self-adjustable learningprocess in order to pinpoint the feature extractionprocess. Both local and global primitives are processedand the decision about the authenticity of the specimen isdefined through similarity measurements. The globalperformance of the system is measured using two differentclassifiers.