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The method for determining the characteristic points of signatures based on IPAN99 algorithm

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Języki publikacji
EN
Abstrakty
EN
The paper puts forward a new method of determination of signatures' characteristic points. The method is based on seeking points of the highest curvature using the IPAN99 algorithm. The way of IPAN99 algorithm parameters' automatic selection for a particular signature has been fully described. Moreover, the way of determination of additional characteristic points, important for a signatures analysis, has been shown. The presented results of carried out experiments confirm that the proposed method is useful for signature recognition and verification.
Rocznik
Tom
Strony
41--46
Opis fizyczny
Bibliogr. 12 poz., rys., tab.
Twórcy
autor
  • University of Silesia, Institute of Computer Science, 41-200 Sosnowiec, Będzińska 39, Poland
autor
Bibliografia
  • [1] CHETVERIKOV D., SZABO Z., Detection of high curvature points in planner curves, In 23rd Workshop of the Australian Pattern Recognition Group, 1999, pp. 175–184.
  • [2] 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.
  • [3] DOROZ R., WIDUCH S., Estimation of signature similarity by means of IPAN99 algorithm. XXXVIII International Autumn Colloquium ASIS 2006 Advanced Simulation of System, Ostrava, Czech Republic, 2006, pp. 85–90.
  • [4] EL YACOUBI A., GILLOUX M., SABOURIN R., SUEN, C. Y., Unconstrained hand written word recognition using Hidden Markov Models, IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 2, no. 8, 1999, pp. 752–760.
  • [5] 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.
  • [6] 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.
  • [7] PARISSE C., Global word shape processing in off-line recognition of handwriting. 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] SAEED K., ADAMSKI M., Offline signature classification using DTW method (In Polish), – National Scientific Conference - KBIB'05, Vol. I, WPC, Częstochowa, Poland, 2005, pp 455–460.
  • [11] 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.
  • [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), 2005, pp. 230–235.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA4-0017-0009
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