Using hidden Markov models in signature recognition process

• Autorzy: Doroz R. , Wróbel K.
• Języki publikacji: EN

Abstrakty

EN

This paper presents a method of recognition of handwritten signatures with the use of Hidden Markov Models (HMM). The method in question consists in describing each signature with a sequence of symbols. Sequences of symbols were generated on the basis of an analysis of local extremes determined on diagrams of dynamic features of signatures. For this purpose, the method proposed by G.K. Gupta and R.C. Joyce has been modified. The determined sequences were then used as input data for the HMM method. The studies were conducted with the use of the SVC2004 database. The results are competitive in relation to other methods known from the literature.

Słowa kluczowe

EN

signature recognition; hidden Markov models

PL

rozpoznawanie podpisu; ukryte modele Markowa

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2012
• Tom: Vol. 21
• Strony: 75--84
• Opis fizyczny: Bibliogr. 22 poz., rys., tab.

Twórcy

autor

Doroz R.

• University of Silesia, Institute of Computer Science, 41-200 Sosnowiec, Będzińska 39, Poland

autor

Wróbel K.

Bibliografia

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