… Wavelet energy feature (WEF) of a palmprint is defined in this paper. Observing the palms
carefully, we find that the most features … These features extracted from the whole images don't …

… Wavelet theory is introduced to resolve the Palmprint features extraction problem, and for …
Waveletbased image fusion method is used as fusion strategy in our schema we have done …

… A twodimensional wavelet transform can decompose … wavelet transform[2o] have been
proposed. In the future work, we will investigate these wavelet transform in palmprint recognition. …

… obtained from the Discrete Wavelet Transform to generate the feature vector. The method of
feature extraction and the results obtained from feature matching using Neural Network have …

… Moreover, palmprint is also rich in features. Wavelet transform is a multiresolution analysis
tool that can extract palm lines in different resolution levels. In low-resolution level, fine palm …

… In this paper, a multi-resolution feature extraction algorithm for palm-print recognition is
proposed based on two-dimensional discrete wavelet transform (2D-DWT), which efficiently …

… palmprint recognition. Our future work will focus on more effective fusion strategy and special
feature extraction … a more accurate and robust multispectral palmprint recognition system. …

… -scale wavelet transform analysis is utilized in palmprint recognition. … preprocessing, feature
extraction and recognition. Original … Feature extraction is a key step in palmprint identification …

… ] and [16] where wavelet transform has been used for feature extraction had motivated us to
… using Contourlet transform. This paper proposes a new approach for palmprint identification. …

… A feature extraction algorithm for palm-print recognition based on two dimensional
discrete wavelet transform is proposed in this paper, which efficiently exploits the local spatial …