[PDF] Top 20 Leaf vein extraction using independent component analysis

... of leaf images to learn the basis functions and then the basis functions are used as the pattern map for vein ...the leaf, edge, background and other pixels are classified into different classes by ... See full document

... tiotemporal independent component analysis (stICA) and multiscale ...The independent com- ponent with highest energy is considered to be the back- ...other analysis is also introduced ... See full document

... systems using binary phase-shift-keying (BPSK) and quadrature phase-shift-keying (QPSK) modulation ...of using an alterna- tive blind equalization method relying on independent compo- nent ... See full document

... In the simulations, 100 Japanese words were used which were recorded both by a condenser microphone (air con- duction voice) and by a bone conduction microphone (bone conduction voice) at the same time. Each word is ... See full document

... An attempt has been made in this work to compare performance of Iris Recognition based on feature extraction using Gabor wavelet, Principal Component Analysis(PCA) and Independent ... See full document

... analyzed using blind source separation (BSS) methods based on independent component analysis (ICA) the three basic considerations arise on body surface is to be ... See full document

... each component of the representation is a linear combination of the original ...principal component analysis, factor analysis, and projection ...pursuit. Independent component ... See full document

... feature extraction-based classifier is included as a post-OC-ICA processing technique to perform classifi- ...nant analysis (FLDA) and support vector machine (SVM), are used for this purpose because they ... See full document

... feature extraction is better able to capture the underlying structure in data, which is important for building an accurate similarity matrix ...by using only a consumer-level 6-core CPU (AMD-FX-6300) we are ... See full document

... Abstract- Blind source separation (BSS) is the separation of sources without having prior information about the mixtures. This is a major problem in real time world whether we have to identify a particular person in the ... See full document

... Palm print recognition can be viewed as having three types: matching based on minutiae, matching based on correlation with database palm print segments , and ridgelet based matching. In Minutiae technique, which is very ... See full document

... Recently, Independent Component Analysis (ICA) has been proposed as a generic statistical model for images [90, 59, 60, 61, 62, ...statistically independent from each other as ...by ... See full document

... WMicaD extraction and postprocessing scheme were carried out on the test images to estimate the ...ones, using abCC as the performance index to evaluate the quality of the ... See full document

... diagnosis. Extraction of relevant information on brain activity from measured electrical signals, called Electroencephalogram or EEG, (measures electrical potentials on the scalp surface that occur as a result of ... See full document

... Dan Yu et al. [3] treat the host image, the key image, and the watermark image as the independent sources. Embedding is done by weighted addition of the key and the watermark to the host. For watermark ... See full document

... One negative characteristic of P300 detection is that the amplitude of the waveform requires the averaging of multiple recordings to isolate a signal. In order tostreamline the averaging process, the proposed feature ... See full document

... The robust batch algorithm is presented in this section, where the source signals are modeled as an autoregressive (AR) process [10]. Hence, the algorithm will be an effective blind separation approach particularly for ... See full document

... The proposed watermarking scheme is tested on Barbara image of size 256 × 256. Two level DWT is followed by DFB is performed on the original image. The frequency sub-bands are selected to embed watermark as explained in ... See full document

... texture extraction is performed by applying wavelet packet transform (WPT) using Haar ...feature extraction. It acquires an accuracy using complex neural network matching ... See full document

... Principal component analysis – also referred to as the Karhunen-Loeve transform (Dejviver and Kittler, 1982)– has been widely used in the literature of pattern recognition and feature extraction and ... See full document