HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

Real-Time Feature-Based Automatic Signature Verification

Abstract : Automated signature verification is an important capability when doing fraud detection from high volumes of document images. The challenge is mainly caused by the combination of inherent writer variations and the conscious attention placed by the fraudster on imitating a legitimate signature. Getting good signature references is the first and most important step affecting verification accuracy. Typical production systems use signature cards which have one or more signature variations. In this paper, we show the improvement in verification accuracy from increasing the number of signature references used in verification processing. As many as 20 signature references were used. In production operations, comparing a sample signature to more than one or two reference signatures using current methods requires too much processing time. The main contribution of this paper is the description of a feature-based approach that allows for matching of a sample signature against a large number of reference signatures in real-time thereby achieving improved accuracy without a significant performance penalty.
Complete list of metadata

Cited literature [14 references]  Display  Hide  Download

Contributor : Anne Jaigu Connect in order to contact the contributor
Submitted on : Friday, October 6, 2006 - 2:27:39 PM
Last modification on : Tuesday, August 13, 2019 - 9:28:04 AM
Long-term archiving on: : Tuesday, April 6, 2010 - 5:32:36 PM


  • HAL Id : inria-00104392, version 1



M. Shridhar, G. Houle, R. Bakker, F. Kimura. Real-Time Feature-Based Automatic Signature Verification. Tenth International Workshop on Frontiers in Handwriting Recognition, Université de Rennes 1, Oct 2006, La Baule (France). ⟨inria-00104392⟩



Record views


Files downloads