Determining valuable ranges of handwritten signature using fuzzy approach and window method

• Autorzy: Kudłacik P. , Doroz R.
• Języki publikacji: EN

Abstrakty

EN

The paper proposes possible improvements in signature recognition approach based on window method. The analysis focuses on a stage of window preprocessing using fuzzy sets in order to choose significant ranges of each signature. Proposed extension allows the solution to improve in two areas. First of all minimizing a number of processed windows significantly reduces computation time. Secondly, filtered signatures with valuable information about significant ranges allow the system to recognize signatures of a poor or good quality. Developed method of signature quality assessment can be used in any signature recognition system, regardless of used method of analysis. Merging the information about signature quality and choosing only important signature ranges should also improve the overall detection results, however, more examinations are needed to confirm this statement.

Słowa kluczowe

EN

signature recognition; window method; fuzzy sets

PL

rozpoznawanie podpisu; zbiory rozmyte

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2015
• Tom: Vol. 24
• Strony: 23--30
• Opis fizyczny: Bibliogr. 9 poz., rys., wykr.

Twórcy

autor

Kudłacik P.

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

autor

Doroz R.

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

Bibliografia

• [1] CZOGAŁA E., ŁĘSKI J. Fuzzy and neuro-fuzzy intelligent systems. 2000. Physica-Verlag, Springer-Verlag Comp.
• [2] DOROZ R., WRÓBEL K. Dynamic signature recognition based on modified windows technique. Lecture Notes in Computer Science (LNCS), Springer, 2012, Vol. 7564. pp. 158–167.
• [3] KUDŁACIK P. Improving a signature recognition method using the fuzzy approach. Journal of MIT, 2012, Vol. 21. pp. 85–93.
• [4] KUDŁACIK P., PORWIK P. A new approach to signature recognition using the fuzzy method. Pattern Analysis and Applications, 2014, Vol. 17, Issue 3. pp. 451–463.
• [5] ORTEGA-GARCIA J., FIERREZ-AGUILAR J., SIMON D., GONZALEZ J., FAUNDEZ-ZANUY M., ESPINOSA V., SATUE A., HERNAEZ I., IGARZA J.-J., VIVARACHO C., ESCUDERO D., MORO Q.-I. Mcyt baseline corpus: a bimodal biometric database. Vision, Image and Signal Processing, IEE Proceedings -, Dec 2003, Vol. 150. pp. 395–401.
• [6] PORWIK P., DOROZ R., WRÓBEL K. A new signature similarity measure based on windows allocation technique. Int. Journal of Computer Information Systems and Industrial Management Applications (IJCISIM), 2010, Vol. 2. pp. 297–305.
• [7] PORWIK P., WRÓBEL K., DOROZ R. Signature recognition method by means of the windows technique. Image Processing and Communications, 2009, Vol. 14. pp. 43–50.
• [8] WRÓBEL K., DOROZ R. The method of signature recognition based on least squares contour alignment and windows technique. Journal of Medical Informatics and Technologies, 2010, Vol. 15. pp. 35–39.
• [9] ZADEH L. A. Fuzzy sets. Information and Control, 1965, Vol. 8. pp. 338–353.