Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation

Biometric Personal Identification Based on Chinese Handwriting Signature

Authors
Yongjian Zhao
Corresponding Author
Yongjian Zhao
Available Online April 2015.
DOI
https://doi.org/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.
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This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation
Series
Advances in Computer Science Research
Publication Date
April 2015
ISBN
978-94-62520-76-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmra-15.2015.153How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - https://doi.org/10.2991/icmra-15.2015.153
ID  - Zhao2015/04
ER  -