Improving a signature recognition method using the fuzzy approach

• Autorzy: Kudłacik P.
• Języki publikacji: EN

Abstrakty

EN

The paper introduces a significant improvement of the signature recognition method based on characteristic preprocessing of an input data. The original approach transforms an input data into a sorted set of points obtained from intersections of a signature with generated lines going through it's center point. For further analysis the discrete Walsh transform was used. The solution presented in this paper divides points obtained in the preprocessing phase into groups. This step allows the method to preserve more unique features, which positively reflects on the results. Preprocessed data is used to build a fuzzy structure called the fuzzy signature. The method considering a natural imprecision makes the verification system flexible.

Słowa kluczowe

EN

signature recognition; fuzzy systems; fuzzy sets

PL

rozpoznawanie podpisu; systemy rozmyte; zbiory rozmyte

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2012
• Tom: Vol. 21
• Strony: 85--93
• Opis fizyczny: Bibliogr. 11 poz., rys.

Twórcy

autor

Kudłacik P.

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

Bibliografia

• [1] CZOGAŁA E., ŁĘSKI J., Fuzzy and Neuro-Fuzzy Intelligent Systems, Physica-Verlag, Springer-Verlag Comp, 2000.
• [2] DOROZ R., PORWIK P., PARA T., WRÓBEL K., Dynamic signature recognition based on velocity changes of some features, Int. J. Biometrics, 2008, Vol. 1, No. 1, pp. 47-62.
• [3] HUANG K., YAN H., On-line signature verification based on geometric feature extraction and neural network classification, Pattern Recognition, 1997, Vol. 30, No. 1, pp. 9-17.
• [4] JAIN A.K., FLYNN P., ROSS A., Handbook of Biometrics, Springer Verlag New York inc., Secaucus, New York, USA, 2007.
• [5] KUDŁACIK P., Operations on fuzzy sets with piecewise-linear membership function, Studia Informatica, 2008, Vol. 29 No. 3A(78), pp. 91-111.
• [6] KUDŁACIK P., Structure of a knowledge base in the FUZZLIB library, Studia Informatica, 2010, Vol. 31, No. 2A(89), pp. 469-478.
• [7] KUDŁACIK P., Advantages of an Approximate Reasoning Based on a Fuzzy Truth Value, Journal of Medical Informatics and Technologies, 2010, Vol. 15, pp. 57-61.
• [8] ŁĘSKI J., Neuro-Fuzzy Systems, Wydawnictwa Naukowo-Techniczne (WNT), Warsaw, 2008.
• [9] MAMDANI E.H., ASSILAN S., An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller, International Journal of Man-Machine Studies, 1975, Vol. 20, pp. 1-13.
• [10] PORWIK P., WRÓBEL K., Signature preprocessing based on Walsh coeffcients, Journal of Medical Informatics and Technologies, 2008, Vol.12, pp. 57-61.
• [11] http://www.cse.ust.hk/svc2004/