- Tytuł:
- Using hidden Markov models in signature recognition process
- Autorzy:
-
Doroz, R.
Wróbel, K. - Powiązania:
- https://bibliotekanauki.pl/articles/333622.pdf
- Data publikacji:
- 2012
- Wydawca:
- Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
- Tematy:
-
rozpoznawanie podpisu
ukryte modele Markowa
signature recognition
hidden Markov models - Opis:
- 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.
- Źródło:
-
Journal of Medical Informatics & Technologies; 2012, 21; 75-84
1642-6037 - Pojawia się w:
- Journal of Medical Informatics & Technologies
- Dostawca treści:
- Biblioteka Nauki
Artykuł