On some optimalization of signature recognition

• Autorzy: Doroz R. , Bargielski M.J.
• Języki publikacji: EN

Abstrakty

EN

Signature recognition is one of the important problems nowadays. In paper we present known method of pattern (curves) recognition, i.e. algorithm IPAN99 and researches over its optimization; there are many control parameters which influence on recognition results. We present some quasi-optimal set of control parameter. Our next aim is to automatically find proper parameters. Thus some optimum seeking method for unimodale and multimodale function is proposed.

Słowa kluczowe

EN

signature recognition; IPAN99; optimum seeking methods

PL

rozpoznawanie podpisu; IPAN99; metody optymalnych poszukiwań

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2008
• Tom: Vol. 12
• Strony: 201--206
• Opis fizyczny: Bibliogr. 12 poz., rys., tab.

Twórcy

autor

Doroz R.

• University of Silesia. Institute of Informatics, 41-200 Sosnowiec, Będzińska 39, Poland

autor

Bargielski M.J.

Bibliografia

• [1] BARGIELSKI M.J., Organizacja poszukiwania optymalnych parametrów modelu matematycznego, ZN Pol.Sl. Gliwice 1971, seria Automatyka, z. 17.
• [2] DOROZ R., WIDUCH S., Signature characteristic points determination by means of the IPAN99 algorithm., Medical Informatics i Technologies, 2007, pp. 105-113.
• [3] DOROZ R., WIDUCH S., Estimation of signature similarity by means of IPAN99 algorithm. XXXVIII International Autumn Colloquium ASIS 2006 Advanced Simulation of System. Ostrawa. Czech Republic. 2006 pp. 85-90
• [4] FERRER M., ALONSO J., TRAVIESO C., Offline Geometric Parameters for Automatic Signature Verification Using Fixed-Point Arithmetic, 2005, Pattern Recognition and Artificial Intelligence pp. 993-997.
• [5] HOOKE R., JEEVES T.A., Direct search solution of numerical and statistical problem. Journal of ACM 8,2 (Apr. 1961)
• [6] LEI H. PALLA S., GOVINDARAJU V., ER2 : an Intuitive Similarity Measure for ON-line Signature VerificationFrontiers in Handwriting Recognition. 2004. IWFHR-9 2004. Ninth International Workshop, pp. 191-195.
• [7] PARISSE C., Global Word Shape Processing in Off-Line Recognition of Handwritting. IEEE Transactions on Pattern Analysis and Machine Intelligence. 1996. Vol. 18, no. 5, pp. 460-464.
• [8] PORWIK P., The Compact Three Stages Method of the Signature Recognition. Proceeding of 6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07) Ełk. 2007 pp. 282-287.
• [9] RATH T. M., MANMATHA R., Word Image Matching using Dynamic Time Warping, IEEE Conference on Computer Vision and Pattern Recognition, vol. 2, Madison, Wisconsin., 2003, pp. 521-527
• [10] SCHEIDAT, T., VIELHAUER, C., DITTMANN, J., Distance-Level Fusion Strategies for Online Signature Verification, Multimedia and Expo, 2005. ICME 2005. IEEE International Conference onVolume, pp. 1294 – 1297.
• [11] WILDE D.J., Optimum seeking methods. Prentice-Hall Inc., Engleqood Cliffs N.J, 1964.
• [12] WIROTIUS M, RAMEL J.Y., VINCENT N., Distance and Matching for Authentication by On-Line Signature, Fourth IEEE Workshop on Automatic Identification Advanced Technologies (AutoID'05), pp. 230-235.