Multi-scale Block Weber Local Descriptor for Face Recognition

DOI

10.2991/ameii-15.2015.292How to use a DOI?

Keywords

Face Recognition; LBP; WLD; MBLBP; FERET

Abstract

In this paper, we provide a novel local descriptor Multi-scale Block Weber Local Descriptor (MBWLD) for face recognition. It is a LBP-based descriptor which combines MBLBP with WLD for integrating both their advantages. Firstly, Multi-scale block filters is used on the face image to calculate the average gray-values of sub-regions. Secondly, differential excitation and orientation of WLD is extracted using the average neighbors and center. MBWLD extracts both the micro and macro patterns from face image, and becomes more descriptive and robust to face representation. The feasibility and availability are validated by comparing with the standard LBP, MBLBP and WLD on FERET database in expression, illumination and age changes. The experimental result shows that, MBWLD is appropriate for face recognition, and the recognition performance is much well improved especially in illumination and age changes.

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  - Weilan Pu
AU  - XiaoHong Zhang
PY  - 2015/04
DA  - 2015/04
TI  - Multi-scale Block Weber Local Descriptor for Face Recognition
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 1576
EP  - 1580
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.292
DO  - 10.2991/ameii-15.2015.292
ID  - Pu2015/04
ER  -