On-line Handwriting Signature Verification Based on Using Extreme Points Extraction
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, curvatureDownloads
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 DOI: https://doi.org/10.1016/0031-3203(89)90059-9
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 DOI: https://doi.org/10.1109/5.554220
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 DOI: https://doi.org/10.1016/0031-3203(94)00092-Z
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 DOI: https://doi.org/10.1007/s100320050033
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 DOI: https://doi.org/10.1109/ICCV.1999.791205
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 DOI: https://doi.org/10.1145/347090.347153
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 DOI: https://doi.org/10.1137/1.9781611972726.12
A. K. Jain, F. D. Griess, S. D. Connell, “On-line signature verification”, Pattern Recognition, Vol. 35, No. 12, pp. 2963–2972, 2002 DOI: https://doi.org/10.1016/S0031-3203(01)00240-0
S. D. Connell, A. K. Jain, “Template-based online character recognition”, Pattern Recognition, Vol. 34, No. 1, pp.1-14, 2001 DOI: https://doi.org/10.1016/S0031-3203(99)00197-1
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 DOI: https://doi.org/10.1016/S0167-8655(03)00155-7
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
Downloads
How to Cite
License
Authors who publish with this journal agree to the following terms:
- Authors retain the copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) after its publication in ETASR with an acknowledgement of its initial publication in this journal.
