Offline signature identification and verification using noniterative shape context algorithm

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

Abstrakty

EN

The paper presents experimental results on offline signature identification and verification. At the first stage of the presented system, the binary image of the signature undergoes skeletonization process using KMM algorithm to have a thinned, one pixel-wide line, to which a further reduction is applied. For each thinned signature image a fixed number of points comprising the skeleton line are selected. The recognition process is based on comparing the reference signatures with the questioned samples using distance measure computed by means of Shape Context algorithm. The experiments were carried out using a database containing signatures of 20 individuals. For the verification process random forgeries were used to asses the system error. The main advantage of the presented approach lies in utilizing only one reference signature for both identification and verification tasks, whereas the achieved results are comparable with respect to the systems that use several training samples per subject.

Słowa kluczowe

EN

offline signature verification (SV); signature identification; shape context method

PL

weryfikacja podpisu

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2009
• Tom: Vol. 13
• Strony: 47--52
• Opis fizyczny: Bibliogr. 13 poz., rys., tab.

Twórcy

autor

Adamski M.

• The Computer Science Faculty of Białystok Technical University, 15-351 Bialystok, Wiejska 45A

autor

Saeed K.

Bibliografia

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