[PDF] Top 20 Complex Wavelet Transform-Based Face Recognition

... a face image is an important and challenging task ...A face recognition system should, to a large extent, take into account all the above-mentioned natural constraints and cope with them in an ... See full document

... Adam et al. [21] proposes an improved feature extraction method that is called Wavelet Cepstral Coefficients [WCC]. In traditional cepstral analysis, the cepstrums are calculated with the use of the Discrete ... See full document

... Dual-tree Complex Wavelet transform is introduced to image fusion based on multi resolution, images are decayed by double-density dual tree complex wavelet transform with ... See full document

... Electroencephalogram (EEG) signals are the potential difference between the cells of the brain when the brain is active, they are superposition reflects of the brain's nerve cells on the surface of the scalp or the ... See full document

... gait recognition based on feature combina- tion is proposed, which includes the wavelet transform (WT), Fourier transform (FT) and the quartile difference, to explore the gait ... See full document

... systems based on discrete wavelet transform and complex wavelet ...discrete wavelet transform (DWT) is ...Discrete Wavelet Transform such as shift ... See full document

... set. Wavelet representation shown in equation 1 is especially useful for feature analysis in vision problems because its theory provides powerful properties, such as algorithms for dominant point’s detection, and ... See full document

... Discrete Wavelet Transform (RDWT), Contourlet Transform [5] and Dual- Tree Complex Wavelet Transform (DTCWT) ...region based Contourlet Transform gives local ... See full document

... Image segmentation is the fundamental approach for digital image processing. In image processing, segmentation is the first step to pre-process the images to extract the objects and make it easier to analyse the ... See full document

... discrete wavelet transform (DWT), real dual-tree discrete wavelet transform (R-DT- DWT), and complex dual-tree discrete wavelet transform (C- DT-DWT) with accompanied ... See full document

... In the above way, compute the common components and innovation components of the 34 coefficient matrixes from the coarse layer, detailed layers and fine layer in the kth class. The common feature vector and innovation ... See full document

... of complex, nonlinear, multilayer neuromorphic feature representations were arbitrarily produced and monitored to locate those best suitable for the job at ...unrestrained face recognition challenge ... See full document

... entire complex transforms above, use of real filters make them not a true com- plex wavelet transform and due to the presence of redundancy, they are computationally ...plex wavelet ... See full document

... classic face recognition system consists of some key steps, namely, input face image collection, preprocessing,feature extraction, classification, and template storage or ...curvelet transform ... See full document

... frontal face detection based on Hausdorff ...human face is used to find face candidate in ...of face detection can be improved by using a more detailed and complex edge model of ... See full document

... Abstract—Dual-Tree Complex Wavelet Transform is relatively a recent improvement of the Discrete Wavelet Transform (DWT) with important additional properties like shift invariant and ... See full document

... approach based on wavelet transform and gradientfaces for illumination processing is ...calculates wavelet transform and multilevel wavelet decomposition in logarithm ...the ... See full document

... This paper presents two novel architectures for two- dimensional (2-D) Haar wavelet transform (HWT) of transform block in face recognition systems. The proposed architectures comprises ... See full document

... In this paper, we have presented a technique for designing fast, secure and robust face recognition system. Our applied technique reduces the time required to recognize an image from the database. Haar ... See full document

... automatic recognition of an individual based on some sort of unique feature or characteristic of the ...is based on fingerprints, facial features, voice, hand geometry, handwriting, the retina and ... See full document