On the power of feature analyzer for signature verification

Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005

Volumn 2005, Issue , 2005, Pages 217-222

  Mahmud, Jalal ^a   Rahman, Chowdhury Mofizur ^b  

^a Stony Brook University   (United States)

^b UNITED INTERNATIONAL UNIVERSITY   (Bangladesh)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FEATURE EXTRACTION; IMAGE PROCESSING; NEURAL NETWORKS; NONLINEAR SYSTEMS; SPURIOUS SIGNAL NOISE;

FEATURE ANALYSIS; NONLINEAR CLASSIFIERS; REGULAR SINGLE NEURAL NETWORKS; SIGNATURE VERIFICATION;

PATTERN RECOGNITION;

EID: 33751440317     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DICTA.2005.1578130     Document Type: Conference Paper

References (18)

1. T.Hastie, E.Kishon, M.Clark, and J.Fan, "A model for signature verification," in Proc. of IEEE Int Conf. on Syst,ManCybern.,Vol.1, Charlottesville,VA,Oct 1991,pp.191-196, 1991.
2. I. Evett and R. N. Totty, "A study of the variation in the dimensions of genuine signatures," J. Forensic Sci. Soc., Vol. 25, pp. 207-215, 1985.
3. F. Leclerc and R. Plamondon, "Automatic signature verification: The state of the art 1989-1993," Int. J.Patt. Recognit. And Artificial Intell.,Vol. 8, No. 3, pp. 643-660, June 1994.
4. T. Pavlidis, "A Vectorizer and Feature Extraction for Document Recognition", Computer Vision, Graphics and Image Processing, Vol. 35, pp. 111-127, (1986).
5. D.Rutovitz, "Pattern Recognition", Journal of Royal Statistical Society, Vol. 129,Series A, pp. 504-530, (1966).
6. S. Yokoi, J.I. Toriwaki, T. Fukumura, "An Analysis of Topological Properties of Digitized Binary Pictures Using Local Features", Journal of Computer Graphics and Image Processing, Vol. 4, pp. 63-73, (1975).
7. T. Pavlidis, "Algorithms for Graphics and Image Processing", Springer-Verlag,Berlin, (1982).
8. L. K. Hansen and P. Salamon, "Neural network ensembles," IEEE Trans.Pattern Analysis and Machine Intelligence, vol.12, no.10, pp.993-1001,1990.
9. L. K. Hansen, L. Liisberg, and P. Salamon, "Ensemble methods for handwritten digit recognition," in Proc. IEEE Workshop on Neural Networks for Signal Processing, Helsingoer, Denmark, 1992, pp.333-342.
10. Cunningham, J. Crney, and S. Jacob, "Stability problems with artificial neural networks and the ensemble solution," Artificial Intelligence in Medicine, vol. 20, no.3, pp.217-225, 2000.
11. M. Stone, Cross-Validatory Choice and Assessment of Statistical Predictions, Journal of the Royal Statistical Society. 36(1), 111-147, 1974.
12. Suman Kumar Nath and Muhammad Mashroor Ali, An Efficient Object Scaling Algorithm for raster device", raphics and Image Processing, NCCIS, 1997.
13. C.C.Lue and J.G Dunhaum, "Highly Efficient Coding schemes for contour lines based on Chain Code Representation", IEEE Trans, Comm Vol. 39, No. 10,pp. 1511-1514, 1991.
14. C. M. Bishop, Neural networks for pattern recognition, Clarendon Press, Oxford, 1995.
15. L. Breiman, "Bagging predictors," Machine Learning, vol.24, no.2, pp. 123-140, 1996.
16. H. Drucker, R. Schapire, and P. Simard, "Improving performance in neural networks using a boosting algorithm," in Advances in Neural Information Processing Systems 5, S.J. Hanson, J. D. Cowan, and C. L.Giles, Eds. San Mateo, CA: Morgan Kaufmann, 1993, pp.42-49.
17. T. P. Vogl, J. K. Mangis, A. K. Rigler, W. T. Zink, and D. L. Alkon, Accelerating the convergence of the back-propagation method, Biological Cybernetics, 59, 257-263, 1988.
18. B. Efron and R. Tibshirani, An Introduction to the Bootstrap. New York: Chapman & Hall, 1993.