DocumentCode :
3423129
Title :
Shape parameters of Gaussian as descriptor for palmprint recognition based on Dual-tree Complex Wavelet Transform
Author :
Mu, Meiru ; Ruan, Qiuqi ; Ming, Yue
Author_Institution :
Inst. of Inf. Sci., Beijing Jiaotong Univ., Beijing, China
fYear :
2010
fDate :
24-28 Oct. 2010
Firstpage :
1406
Lastpage :
1409
Abstract :
The multiscale and multidirectional transform is a tool that has been used widely in the last decade for image processing. This paper presents a novel image feature descriptor for palmprint recognition based on the Dual-tree Complex Wavelet transform (DT-CWT), which provides a local multiscale description of images with good directional selectivity, invariance to shifts, insensitive to illumination and in-plane rotations. Instead of exploiting the DT-CWT-derived coefficients directly, which are highly-dimension, we investigate a statistical model to characterize the image in the transform domain. It is experimentally founded that the DT-CWT-derived magnitude of one palmprint image approximates a lognormal distribution, i.e. the logarithmic transformation of DT-CWT-derived magnitude is close to a Gaussian model. Thus the shape parameters (mean and standard deviation) of Gaussian are exploited to construct the feature descriptor for palmprint recognition in this paper. This process brings computational efficiency. For capturing the spatial structure information, each image is partitioned into many quadtree-based subblocks, whose DT-CWT-derived magnitude destributions are similar to that of the whole image. Finally the Fisher Linear Discriminant (FLD) classifier is used for palmprint recognition. Experiments are carried out on the BJTU PalmprintDB (V1.0) of 3,460 images. The results demonstrate the high recognition performance of our proposed method.
Keywords :
Gaussian processes; biometrics (access control); discriminators; image coding; image recognition; log normal distribution; quadtrees; wavelet transforms; DT-CWT derived coefficient; DT-CWT derived magnitude distribution; Gaussian model; computational efficiency; dual tree complex wavelet transform; fisher linear discriminant classifier; image feature descriptor; image processing; logarithmic transformation; lognormal distribution; multidirectional transform; multiscale transform; palmprint image magnitude; palmprint recognition; quadtree based subblock; shape parameter; spatial structure information; statistical model; Accuracy; Feature extraction; Fitting; Histograms; Lighting; Wavelet transforms; Fisher Linear Discriminant; dual-tree complex wavelet; palmprint recognition; shape of Gaussian;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5897-4
Type :
conf
DOI :
10.1109/ICOSP.2010.5656920
Filename :
5656920
Link To Document :
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