Off-Line Signature Verification by Local Granulometric Size Distributions
IEEE Transactions on Pattern Analysis and Machine Intelligence
An off-line signature verification system using an extracted displacement function
Pattern Recognition Letters
BSDIA '97 Proceedings of the First Brazilian Symposium on Advances in Document Image Analysis
Analysis of Stability in Hand-Written Dynamic Signatures
IWFHR '02 Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR'02)
A novel local on-line signature verification system
Pattern Recognition Letters
Fuzzy shape-memory snakes for the automatic off-line signature verification problem
Fuzzy Sets and Systems
Ensemble of on-line signature matchers based on OverComplete feature generation
Expert Systems with Applications: An International Journal
Model-based signature verification with rotation invariant features
Pattern Recognition
Expert Systems with Applications: An International Journal
SVARS: symbolic video archival and retrieval system
Proceedings of the Third Annual ACM Bangalore Conference
Determining the similarity of signatures on the basis of characteristic points analysis
International Journal of Biometrics
Off-line signature verification systems: a survey
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
Summarizing a set of time series by averaging: From Steiner sequence to compact multiple alignment
Theoretical Computer Science
Dynamic signature recognition based on modified windows technique
CISIM'12 Proceedings of the 11th IFIP TC 8 international conference on Computer Information Systems and Industrial Management
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In this paper, we propose a signature verification system based on Dynamic Time Warping (DTW). The method works by extracting the vertical projection feature from signature images and by comparing reference and probe feature templates using elastic matching. Modifications are made to the basic DTW algorithm to account for the stability of the various components of a signature. The basic DTW and the modified DTW methods are tested on a signature database of 100 people. The modified DTW algorithm, which incorporates stability, has an equal-error-rate of only 2% in comparison to 29% for the basic DTW method.