Proceedings of the 2nd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2016)

Finger Vein and Finger Dorsal Texture Recognition Joint Optimization based on Sparse Representation

Authors
Jun Li, Hai-Wei Liang, Wen-Ming Yang
Corresponding Author
Jun Li
Available Online December 2016.
DOI
10.2991/eeeis-16.2017.43How to use a DOI?
Keywords
sparse representation; sparse multi-value pattern; locally collaborative representation based classification; joint optimization
Abstract

We introduce the sparse binary pattern (SBP),which is a feature extract method combined SRC with LBP.SBP is robust to illumination. In the paper, we put forward improvement in two directions: multi-value pattern and weighted pattern. Drawing lessons Finger Vein and Finger Dorsal Texture on LTP, we propose sparse ternary pattern (STP); considering different local block makes different contribution to finger vein and finger dorsal texture, we put forward the weighted sparse binary pattern (WSBP).Each improvement makes competitive results. At last, we consider the joint optimization of sparse multi-value pattern and Locally collaborative representation classification (LCRC),namely, we use sparse multi-value pattern in the feature extraction module and use or locally collaborative representation based classification (LCRC) in the classification module. The extensive experiments show that the joint optimization has more advantages than single optimization.

Copyright
© 2017, 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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Volume Title
Proceedings of the 2nd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2016)
Series
Advances in Engineering Research
Publication Date
December 2016
ISBN
10.2991/eeeis-16.2017.43
ISSN
2352-5401
DOI
10.2991/eeeis-16.2017.43How to use a DOI?
Copyright
© 2017, 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/).

Cite this article

TY  - CONF
AU  - Jun Li
AU  - Hai-Wei Liang
AU  - Wen-Ming Yang
PY  - 2016/12
DA  - 2016/12
TI  - Finger Vein and Finger Dorsal Texture Recognition Joint Optimization based on Sparse Representation
BT  - Proceedings of the 2nd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2016)
PB  - Atlantis Press
SP  - 329
EP  - 334
SN  - 2352-5401
UR  - https://doi.org/10.2991/eeeis-16.2017.43
DO  - 10.2991/eeeis-16.2017.43
ID  - Li2016/12
ER  -