… wavelet transform [10, 11]. In this paper, a new recognition algorithm for 2D object contours,
based on the decimated … SG Mallat, A theory for multiresolution signal decomposition: the …

… recognition framework based on multiresolution features and PCA for fingerprint recognition.
The … features derived using Daubechies wavelet DB3. PCA algorithm implemented on these …

… Multiresolution analysis involves the transformation of … different multi-resolution analysis
techniques – the discrete wavelet … can be generalized for other pattern recognition applications. …

… In this paper we proposed descriptors for handwritten numeral recognition based on
multiresolution features by the use of the CDF 9/7 Wavelet Transform and Principal Component …

… of multi-resolution shape descriptors. More precisely, a classifier fusion scheme is applied to
a set of shape descriptors … to other MR descriptors like those based on wavelets transform or …

… Generally, pyramid and wavelet transforms are used for multiresolution image fusion. A detailed
… Real valued wavelet transform based fusion methods suffer from shift sensitivity [13] and …

… multiresolution of wavelets. As the resolution is getting finer we can clearly see the limitation
of the wavelet … scheme with isometric basis elements fails to recognize that the boundary is …

… In this section, we describe in detail our MFF method for face recognition. The Gabor wavelets
will first be introduced, followed by the canonical correlation analysis (CCA), generalized …

… based on a multiresolution application of a wavelet transform and … creates multiresolution
images using a wavelet transform. … -order moment values of the wavelet coefficients. Finally, the …

… Intuitively, combining features from different resolutions can strengthen the discriminative
power of descriptor. Following this spirit, we propose a new multi resolution LBP approach. …