Biometric Personal Identification Based on Chinese Handwriting Signature

DOI

10.2991/icmra-15.2015.153How to use a DOI?

Keywords

Identification; Handwriting; wavelet; characteristic; transform

Abstract

Handwriting signature is an important approach for biometric personal identification. In this paper, a new method is provided to extract signature characteristic through wavelet transform. At first, a series of 4th order B-spline wavelet is constructed on the basis of B-spline function. After applying wavelet transform to each stroke, stable signature character is synthesized. The performance of derived method is demonstrated by computer simulations.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yongjian Zhao
PY  - 2015/04
DA  - 2015/04
TI  - Biometric Personal Identification Based on Chinese Handwriting Signature
BT  - Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation
PB  - Atlantis Press
SP  - 792
EP  - 795
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmra-15.2015.153
DO  - 10.2991/icmra-15.2015.153
ID  - Zhao2015/04
ER  -