Human Face Description and Recognition Combining Wavelet Analysis and LBP Operator
Feng Hai-liang · Journal of Chongqing Institute of Technology · 2009
In order to promote the accuracy and practicability of face recognition,a human face description and recognition method combining wavelet analysis and LBP operator is proposed in this paper.Firstly,wavelet analysis is employed to decompose the original face image for dimension reduction.Then the approximate image is divided into several regions from which two classes LBP feature distributions are extracted and respectively concatenated into two histogram sequences.Finally,the two sequences are concatenated into one enhanced vector which is the proposed histogram sequence of wavelet local binary patterns(HSWLBP) and is used as the face descriptor for classification and recognition.Experimental results on ORL face database show that the proposed method can achieve high face recognition rate which is up to 99%,and with high computational speed.This work demonstrates that HSW LBP feature is highly discriminable with good performance in feature expression and is robust to illumination,face expression and position variations.