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Tytuł artykułu

The method of signature recognition based on least squares contour alignment and windows technique

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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 have been used. The method discussed in the paper is a modification of the method based on least squares contour alignment. This modification consists of 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 effectiveness of the method was verified in practice. During the study, the influence of the parameters of the method on the obtained results was determined.
Rocznik
Tom
Strony
35--39
Opis fizyczny
Bibliogr. 13 poz., rys., tab.
Twórcy
autor
  • University of Silesia, Institute of Computer Science, 41-200 Sosnowiec, Będzińska 39, Poland
autor
Bibliografia
  • [1] BOLLE R.M., PANKANTI S., RATHA N.K., CONNELL J.H., Guide to biometrics, Springer–Verlag, New York, 2009.
  • [2] CHA S., Comprehensive survey on distance/similarity measures between probability density functions, International Journal of Mathematical Models and Methods in Applied Sciences, vol. 1(4), 2007, pp. 300–307.
  • [3] DOROZ R., WROBEL K., Determining the similarity of signatures on the basis of characteristic points analysis, International Journal of Biometrics (IJBM), Inderscience Publisher, vol. 2, no.3, 2010, pp. 282–294.
  • [4] FOLEY J.D., Introduction to computer graphics, Addison–Wesley, 1993.
  • [5] HUANG K., YAN H., Off–line signature verification based on geometric feature extraction and neural network classification, Pattern Recognition, vol. 30, no. 1, 1997, pp. 9–17.
  • [6] IMPEDOVO S., PIRLO G., Verification of handwritten signatures: an overview, 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007, pp.191–196.
  • [7] KATO N., ABE M., NEMOTO Y., A handwritten character recognition system using modified Mahalanobis distance, Trans. IEICE, vol. J79–D–II, no. 1, 1996, pp. 45–52.
  • [8] MARKOVSKY I., MAHMOODI S., Least squares contour alignment, IEEE Signal Processing Letters, 16 (1), 2009, pp. 41–44.
  • [9] PIYUSH SHANKERA A., RAJAGOPALAN A.N., On–line signature verification using DTW, Pattern Recognition Letters, vol. 28, 2007, pp. 1407–1414.
  • [10] PORWIK P., DOROZ R., WROBEL K., A new signature similarity measure, Proceedings of the 8th IEEE Int. Conf. on Computer Information Systems and Industrial Management Applications (CISIM 2009), Coimbatore, India, 2009, pp. 1022–1027.
  • [11] WROBEL K., DOROZ R., New signature similarity measure based on average differences, Journal of Medical Informatics & Technologies, vol. 12/2008, pp. 51–56.
  • [12] WROBEL K., DOROZ R., The new method of signature recognition based on least squares contour alignment, Proceedings of the International IEEE Conference on Biometrics and Kansei Engineering (ICBAKE 2009), 2009, pp. 80–83.
  • [13] YACOUBI EL., GILLOUX A., SABOURIN M., SUEN C. Y., Unconstrained handwritten word recognition using Hidden Markov Models, IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 2, no. 8, 1997, pp. 752–760.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA4-0017-0008
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