Signature pre - procesing based on walsh coefficients

• Autorzy: Porwik P. , Wróbel K.
• Języki publikacji: EN

Abstrakty

EN

Recognition and verification of persons are difficult and important tasks today. In many fields of human activities (driver's licenses, passports, electronic cards, etc.), signature recognition of person is needed. Hence, it inspires the development of a wide range of automatic identification systems. Signatures have been used for many centuries as a method of people's identification. Signatures recognition was performed manually by experts in the past. Nowadays, these procedures are very often automatically applied. In this paper the system that automatically authenticates documents based on the owner's handwritten signature is presented.

Słowa kluczowe

EN

signature analysis and recognition; Walsh transform; Walsh coefficients; support vector machine (SVM)

PL

analiza graficzna; rozpoznawanie podpisu; transformacja Walsha; współczynniki Walsha; maszyna wektorów podpierających

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2008
• Tom: Vol. 12
• Strony: 57--61
• Opis fizyczny: Bibliogr. 8 poz., rys., tab.

Twórcy

autor

Porwik P.

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

autor

Wróbel K.

Bibliografia

• [1] ADAMSKI M., SAEED K., Signature identification by view-based feature extraction and Dynamic Time Warping classifier. Proc. of the 13th Int. MultiConf. on Advanced Computer Systems–ACS–AIBITS/CISIM'06, Międzyzdroje, Poland, 2006, pp. 67–74,.
• [2] AHMED N., RAO K.R., Orthogonal Transforms for Digital Signal Processing. Springer-Verlag. New York 1975.
• [3] CHAPELLE O., VAPNIK V., BOUSQUET O. Choosing multiple parameters for support vector machines. Machine Learning 46 (1-3), 2002, pp. 131−159.
• [4] DOROZ R., PORWIK P., PARA T., WRÓBEL K. Dynamic signature recognition based on velocity changes of some features. Int. Journal of Biometrics. Inderscience Publisher. 2008. Vol. 1 No.1, pp. 47−62
• [5] LEI H, et al., ER2: an Intuitive Similarity Measure for On-line Signature Verification. 9th Int. Workshop on Frontiers in Handwriting Recognition – IWFHR’04, Tokyo, Japan, 2004, pp. 191–195.
• [6] LEE L., BERGER T., AVICZER E., Reliable On-Line Human Signature Verification Systems. IEEE Trans. on Pattern Analysis and Machine Intelligence , 1996, pp. 643–647.
• [7] PORWIK P., PARA T. "Some handwritten signature parameters in biometric recognition process". Proc. of the 29th Int. Conf. on Information Technology Interfaces, 2007.Dubrovnik, Croatia, pp. 185−190.
• [8] Signatures database www.cse.ust.hk/svc2004.