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New signature similarity measure based on average differences

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Języki publikacji
EN
Abstrakty
EN
This paper presents a new method of recognizing handwritten signatures. Signature was treated as a collection of features of specific values. As features the values of x, y coordinates of signature points and the pressure p in its consecutive points have been used. Additionally, before comparing them, the signatures were properly prepared. The method discussed in the paper is a modification of the method based on average differences. This modification consists in dividing signatures into windows of the preset size and measuring the value of similarity between the windows according to their position in the signature. The paper shows the construction of a new similarity measure taking into consideration the modifications introduced and the results of the research obtained by means of this similarity measure.
Rocznik
Tom
Strony
51--56
Opis fizyczny
Bibliogr. 11 poz., rys., tab.
Twórcy
autor
  • University of Silesia. Institute of Informatics, 41-200 Sosnowiec, Będzińska 39, Poland
autor
Bibliografia
  • [1] AL-SHOSHAN A.I., Handwritten Signature Verification Using Image Invariants and Dynamic Features, Computer Graphics, Imaging and Visualisation, International Conference on Volume, pp. 173 – 176, 2006.
  • [2] CZEKANOWSKI J., Zarys metod statystycznych w zastosowaniu do antropologii. Prace Towarzystwa Naukowego Warszawskiego, Warszawa 1917.
  • [3] DOROZ R., PORWIK P., PARA T., WRÓBEL K., Dynamic signature recognition based on velocity changes of some features. International Journal of Biometrics, Vol. 1, No. 1, pp. 47-62.
  • [4] FOLEY J.D., Introduction to Computer Graphics, Addison-Wesley, 1993.
  • [5] IMPEDOVO S., PIRLO G., Verification of Handwritten Signatures: an Overview, 14th International Conference on Image Analysis and Processing ICIAP, 2007.
  • [6] KAMEL N.S., ELLIS G.A., SAYEED S., Glove-based approach to online signature verification, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008.
  • [7] KHAN M.K., KHAN M.A., KHAN M.A.U., AHMAD I., On-Line Signature Verification by Exploiting Inter-Feature Dependencies, Pattern Recognition, 2006. ICPR 2006. 18th International Conference on Volume 2, pp. 796 – 799.
  • [8] PARA T., DOROZ R., Using dynamic features and linear regression to signature verification. Techniki Komputerowe. Biometria 2007, pp. 129-138. Warszawa 2008.
  • [9] 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.
  • [10] PORWIK P., PARA T., Some Handwritten Signature Parameters in Biometric Recognition Process, Information Technology Interfaces, 2007. ITI 2007. 29th International Conference, pp. 185-190.
  • [11] SAEED K., ADAMSKI M., Klasyfikacja podpisu offline z wykorzystaniem metody DTW – Krajowa Konferencja Naukowa - KBIB'05, tom I, Wydawnictwa Politechniki Częstochowskiej, Częstochowa 2005, pp. 455-460.
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-article-PWA4-0006-0006
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