Title :
Palmprint recognition method using Dual-Tree Complex Wavelet Transform and Local Binary Pattern Histogram
Author :
Wang, Yanxia ; Ruan, Qiuqi ; Pan, Xin
Author_Institution :
Beijing Jiaotong Univ., Beijing
fDate :
Nov. 28 2007-Dec. 1 2007
Abstract :
In the paper, we combine the Local Binary Pattern Histogram (LBPH) approach with Dual-Tree Complex Wavelet Transform (DT-CWT) to propose a new method, DT-CWT based LBPH, for palmprint recognition. The approximate shift invariant property of the DT-CWT and its good directional selectively in 2D make it a very appealing choice for palmprint recognition. LBPH is a powerful texture description method, which considers both shape and texture information to represent image. By combining these two tools, we don´t need to train samples to construct a palmprint model, which is not like some methods based on subspace discriminant analysis or statistical learning. In the approach, the dual-tree complex wavelet features are divided into small regions from which LBPH are extracted, and the all the sub-histograms are concatenated into a single feature histogram effectively representing the palmprint image. Our experimental results on our palmprint database show the proposed method outperform other considered methods.
Keywords :
feature extraction; image recognition; image representation; image texture; statistical analysis; trees (mathematics); wavelet transforms; LBPH description method; dual-tree complex wavelet transform; local binary pattern histogram; palmprint image representation; palmprint recognition method; shift invariant property; statistical learning; subspace discriminant analysis; Concatenated codes; Feature extraction; Histograms; Image databases; Pattern recognition; Signal processing; Signal processing algorithms; Spatial databases; Statistical learning; Wavelet transforms; biometrics; dual-tree complex wavelet transform; feature extraction; local binary pattern histogram; palmprint recognition;
Conference_Titel :
Intelligent Signal Processing and Communication Systems, 2007. ISPACS 2007. International Symposium on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-1447-5
Electronic_ISBN :
978-1-4244-1447-5
DOI :
10.1109/ISPACS.2007.4445970