Offline signature verification using direction-based Shape Contexts

• Autorzy: Adamski M. , Saeed K.
• Języki publikacji: EN

Abstrakty

EN

In this paper we present a system for offline signature verification using direction-based Shape Contexts. Images of handwritten signatures were thinned using KMM algorithm and then represented by a set of Shape Context descriptors computed separately in 4 directions in pixel’s 8-neighborhood. The distance measure used to compare Shape Contexts was based on L2 norm. The experiments were conducted using signatures from GPDS database.

Słowa kluczowe

EN

offline signature; shape contexts

PL

podpis w trybie offline; kontekst kształu; rozpoznawanie kształtu

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2014
• Tom: Vol. 23
• Strony: 149--154
• Opis fizyczny: Bibliogr. 10 poz., rys.

Twórcy

autor

Adamski M.

• Faculty of Computer Science, Bialystok University of Technology, Bialystok, Poland

autor

Saeed K.

• Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Cracow, Poland

Bibliografia

• [1] ADAMSKI M., SAEED K., Offline Signature Identification and Verification using Noniterative Shape Context Algorithm, Journal of Medical Informatics and Technologies, 2009, Vol. 13, pp. 47-58.
• [2] ADAMSKI M., SAEED K., TABEDZKI M., RYBNIK M., Offline signature verification based on shape contexts using shared and user-specific thresholds, Journal of Medical Informatics and Technologies, 2013, Vol. 22, pp. 195-201.
• [3] BELONGIE S., MALIK J., PUZICHA J., Shape Matching and Object Recognition Using Shape Contexts, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, Vol. 24, No. 4, pp. 509-522.
• [4] BLUMENSTEIN M., FERRER M., VARGAS J. F., The 4NSigComp2010 Off-line Signature Verification Competition: Scenario 2, International Conference on Frontiers in Handwriting Recognition, 2010, pp. 721-726.
• [5] IMPEDOVO D., PIRLO G., Automatic Signature Verification: The State of the Art, IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews, 2008, Vol. 38, No. 5, pp. 609-635.
• [6] OLIVERA L. S., JUSTINO E. J. R., FREITAS C., SABOURIN R., The Graphology Applied to Signature Verification, 12th Conference of the International Graphonomics Society, 2005, pp. 286-290.
• [7] PALYS M., DOROZ R., PORWIK P., On-line signature recognition based on an analysis of dynamic feature, IEEE International Conference on Biometrics and Kansei Engineering, Tokyo, 2013, pp. 103-107.
• [8] PIRLO G., IMPEDOVO D., Verification of Static Signatures by Optical Flow Analysis, IEEE Transactions on Human-Machine Systems, 2013, Vol. 43, No. 5, pp. 499-505.
• [9] SAEED K., TABDZKI M., RYBNIK M., ADAMSKI M., K3M - A Universal Algorithm for Image Skeletonization and a Review of Thinning Techniques, International Journal of Applied Mathematics and Computer Science, 2010, Vol. 20, No. 2, pp. 317-335.
• [10] SHETE S. S., PATEL S., PANDIT R., Comparative Analysis of Different Approaches for Offline Signature Verification, International Journal of Advanced Electronics and Communication Systems, 2014, Vol. 3, No. 1.