Details

Autor(en) / Beteiligte

• Zhi-Hua Xie
• Jie Zeng
• Guo-Dong Liu
• Zhi-Jun Fang

Titel

A novel infrared face recognition based on local binary pattern

Ist Teil von

• 2011 International Conference on Wavelet Analysis and Pattern Recognition, 2011, p.55-59

Ort / Verlag

IEEE

Erscheinungsjahr

2011

Quelle

IEEE Xplore

Beschreibungen/Notizen

• To extract the discrimination local structural features, an improved infrared face recognition method based on LBP is proposed in this paper. To get robust local features in infrared face, local binary pattern representation is applied to our method, instead of holistic feature extraction method. Based on the criterion of separability discriminant, pattern selection (PS) algorithm is proposed to get the LBP patterns which are most suitable for infrared face recognition. To make full use of the space locations information, the partitioning and LBP histogram are applied to get final features. The experimental results demonstrate the infrared face recognition method based on LBP+PS proposed outperforms the traditional methods based on LBP or PCA+LDA.