Chinese Handwriting Signature Identification techniques

DOI

10.2991/icecee-15.2015.1How to use a DOI?

Keywords

Signature; Feature; Formula; Performance; Property.

Abstract

Chinese handwriting signature is a useful biological feature for identity verification. This paper presents a hybrid signature identification method. Applying wavelet transform to each stroke of signature, reliable signature characteristic is extracted. Subsequently, a desirable classifier is introduced to distinguish various pseudo signatures from the real one. Then an identification method is developed correspondingly and its performance 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  - 2015/06
DA  - 2015/06
TI  - Chinese Handwriting Signature Identification techniques
BT  - Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics
PB  - Atlantis Press
SP  - 1
EP  - 4
SN  - 2352-538X
UR  - https://doi.org/10.2991/icecee-15.2015.1
DO  - 10.2991/icecee-15.2015.1
ID  - Zhao2015/06
ER  -