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Warianty tytułu
Języki publikacji
Abstrakty
The handwritten signature is often used for the identity confirmation. From the specialized graphic tablet, we receive the information in form of time strings. In this paper, the research results are presented which refer to the effect of applying the method of point detection of the highest curvature. Signatures are normalized by means of a DTW method, where two time strings representing the signature features are matched.
Słowa kluczowe
Rocznik
Tom
Strony
105--113
Opis fizyczny
Bibliogr. 10 poz., rys., tab.
Bibliografia
- [1] 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.
- [2] SAEED K., ADAMSKI M., Klasyfikacja podpisu offline z wykorzystaniem metody DTW, – Krajowa Konferencja Naukowa - KBIB'05, tom I, Wydawnictwa Politechniki Częstochowskiej, Częstochowa, Polska. 2005, pp 455-460.
- [3] 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.
- [4] DOROZ R., WIDUCH S., GOŁUCH P., WRÓBEL K., A method of objects similarity searching using edge points with the highest curvature, TIBRD 04. 2004, pp. 126-135.
- [5] 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.
- [6] CHETVERIKOV D. SZABO Z., Detection of high curvature points in planner curves. In 23rd Workshop of the Austrain Pattern Recognition Group. 1999, pp. 175–184.
- [7] LEI H. PALLA S., GOVINDARAJU V., ER2 : an Intuitive Similarity Measure for ON-line Signature Verification Frontiers in Handwriting Recognition. 2004. IWFHR-9 2004. Ninth International Workshop, pp. 191-195.
- [8] FENG H., WAH CH.CH., Online signature verification using a new extreme points warping technique Source, Pattern Recognition Letters. 2003. Vol. 24 , pp. 2943 – 2951.
- [9] 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.
- [10] 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.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA4-0007-0010