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|Title:||Fusion of directional transitional features for off-line signature verification|
Ζώης, Ηλίας Ν.
Νασιόπουλος, Αθανάσιος Α.
|Item type:||Conference publication|
|Conference Item Type:||Full Paper|
|Keywords:||Signature verification;Grid feature;Επαλήθευση υπογραφής;Χαρακτηριστικό πλέγμα|
|Abstract:||n this work, a feature extraction method for off-line signature recognition and verification is proposed, described and validated. This approach is based on the exploitation of the relative pixel distribution over predetermined two and three-step paths along the signature trace. The proposed procedure can be regarded as a model for estimating the transitional probabilities of the signature stroke, arcs and angles. Partitioning the signature image with respect to its center of gravity is applied to the two-step part of the feature extraction algorithm, while an enhanced three-step algorithm utilizes the entire signature image. Fusion at feature level generates a multidimensional vector which encodes the spatial details of each writer. The classifier model is composed of the combination of a first stage similarity score along with a continuous SVM output. Results based on the estimation of the EER on domestic signature datasets and well known international corpuses demonstrate the high efficiency of the proposed methodology.|
|Citation:||Tselios, K., Economou, G., Zois, E. and Nassiopoulos, A. (2011). Fusion of directional transitional features for off-line signature verification. In the Biometrics (IJCB), International Joint Conference on Biometrics Compendium. Washington, 11th-13th October 2011. pp. 1-6. IEEE.|
|Conference:||Biometrics (IJCB), International Joint Conference on Biometrics Compendium, IEEE|
|License:||Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες|
|Appears in Collections:||Δημοσιεύσεις|
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