On-line Handwriting Signature Verification Based on Using Extreme Points Extraction

R. S. A. Zneit

Abstract


This paper presents a method for on-line Handwriting Signature Verification (HSV) using Extreme Points Matching (EPM). EPM does not use direct computation of curve’s curvature thus it does not expect smoothness in the analyzing process of the trajectory. In the proposed method the curve’s form is described by a small set of extreme points and the method thus seems more precise. Furthermore, it provides an effective preprocessing of the curve and can be utilized in one-to-many pattern matching in a restricted access systems.


Keywords


On-line signature verification; HSV; trajectory; extreme points; hand writing; curvature

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References


R. Plamondon, G. Lorette, “Automatic signature verification and writer identification – the state of the art”, Pattern Recognition, Vol. 22, No. 2, pp. 107–131, 1989

M. E. Munich, P. Perona, “Visual signature verification using affine arc-length” Conference on Computer Vision and Pattern Recognition CVPR, pp. 2180-2186, 1999

V. S. Nalwa, “Automatic on-line signature verification”, Proceedings of the IEEE, Vol. 85, No. 2, pp. 215-239, 1997

T. Starner, J. Makhoul, R. Schwartz, G. Chou, “On-line cursive handwriting recognition using speech recognition methods”, IEEE Conference on Acoustics, Speech, and Signal Processing, Vol. 5, pp. 125-128, 1994

L. Yang, B. K. Widjaja, R. Prasad, “Application of hidden Markov models for signature verification”, Pattern Recognition, Vol. 28, No.2, pp. 161-170, 1995

G. Seni, J. Seybold, “Diacritical processing for unconstrained on-line handwriting recognition using forward search”, International Journal on Document Analysis and Recognition, Vol. 2, No. 1, pp. 24-29, 1999

T. Hastie, E. Kishon, “A model for signature verification”, IEEE International Conference on Decision Aiding for Complex Systems, pp. 191-196, 1991

M. E. Munich, P. Perona, “Continuous dynamic time warping for translation-invariant curve alignment with applications to signature verification”, 7th IEEE International Conference on Computer Vision, Vol. 1, pp. 108-115, 1999

E. Keogh, M. Pazzani, “Scaling up dynamic time warping for datamining applications”, 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 285-289, 2000

S. Chu, E. Keogh, D. Hart, M. Pazzani, “Iterative deepening dynamic time warping for time series” IEEE International Conference on Data Mining, Maebashi City, Japan, 2002

A. K. Jain, F. D. Griess, S. D. Connell, “On-line signature verification”, Pattern Recognition, Vol. 35, No. 12, pp. 2963–2972, 2002

S. D. Connell, A. K. Jain, “Template-based online character recognition”, Pattern Recognition, Vol. 34, No. 1, pp.1-14, 2001

F. Hao, C. W. Chan, “Online signature verification using a new extreme points warping technique”, Pattern Recognition Letters, Vol. 24, No. 16, pp. 2943-2951, 2003

X. Li, M. Parizeau, R. Plamondon, “Detection of extreme points of on-line handwritten scripts”, Progress in Handwriting Recognition, World Scientific, 1997

R. C. Sonawane, M. E. Patil, “An effective stroke feature selection method for online signature verification”, 3rd International Conference on Computing Communication & Networking Technologies (ICCCNT), pp. 1-6, Coimbatore, India, July 26-28, 2012

S. Singh, A. Kaur, “Off-Line signature verification using sub uniform local binary patterns and support vector machine”, International Conference on Chemical Engineering & Advanced Computational Technologies (ICCEACT’2014), Pretoria, South Africa, Nov. 24-25, 2014




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