Friederike D. Griess
July, 2000
We describe a method for handwritten signature verification. The signatures are acquired using a digitizing tablet which captures both, dynamic and spatial information of the writing. After preprocessing the signature, several features are extracted. The authenticity of a writer is determined by comparing an input signature to a stored reference set (template) consisting of three signatures. The similarity between an input signature and the reference set is computed using string matching and the similarity value is compared to a threshold. Experiments on a database containing 1,232 signatures of 102 individuals show that user-specific thresholds yield better results. Several approaches to obtain the optimal threshold value from the reference set are investigated. The best result yields a false acceptance rate of 1.6% and a false reject rate of 2.8%.
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