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Pupil localization is the most significant preprocessing step in recognizing the iris. Iris images are often degraded by low resolution, specular reflections; occlusion by eyelids, contact lenses etc. In this paper, a novel approach, which combines smoothing of iris images and segmenting the pupil, is proposed. First, a fractional derivative mask is used for smoothening the iris images, which acts...
The psychological disorders are generally appears in society. The prediction of such disorder is necessary in day to day life. Electroencephalogram (EEG) signal is neuronal activity of brain. A brain signal plays an important role for human disposition detection. EEG signals are non-linear in nature. In this paper, EEG signals are classified into four emotional states such as happy, angry, cry and...
In this paper a brief study of Electrocardiogram has been done. Then for feature extraction purpose only initial step i.e. R-peak detection has been done. Also R peak localization points are collected. For this purpose wavelet transform has been used. But before detection of R peak the original signals are passed through IIR low pass filter to remove high frequency noise in it. Power line interference...
On the basis of explaining the principles of wavelet transform, neural network, and wavelet neural network, the paper examines two methods of face recognition: one is based on neural network, the other is based on wavelet neural network. The paper also offers the features and differences based on algorithmic simulation. The result of the stimulation reveals that face recognition using wavelet neural...
In this paper, We propose a method for the nucleosome's location based on the analysis of scalograms generated by morlet wavelet analysis. We compare after these location in genes by focusing on periodicity 3 and 10. For this purpose, we built a nucleosome database. The methodology adopted in building database consists in four steps. First, we obtain the DNA signal with Frequency Chaos Game Signal...
Regarding to the impress of speech in community relations establishment and the effect of the larynx in speech, correct and timely diagnosis of diseases of vocal cords have particular importance. Since the Conventional methods for diagnosis of vocal cords are usually slow, expensive and annoying, so the purpose of this paper is to analysis and classify of vocal fold disorders with the help of audio...
The problem of sparse wideband spectrum sensing (WBSS) of multiple primary users (PUs) is considered in this paper. Assuming all PUs have a similar brick-type spectrum, we can employ sub-Nyquist sampling for the wideband signal, while still being able to identify the activities of all PUs. First, we estimate the Welch power spectral density (PSD) of the aliased signal, and then apply the multi-scale...
The theme of work presented in this paper is a novel Iris recognition technique using partial energies of transformed iris image. To generate transformed iris images, various transforms like Cosine, Walsh, Haar, Kekre, Hartley transforms and their wavelet transforms are applied on the iris images. Feature vectors are then generated from these transformed Iris images using the concept of energy compaction...
Iris recognition is the best breed authentication process among all the biometric traits. It is a biometric identification process that uses visual patterns of irides. Iris recognition has been acknowledged as one of the most accurate biometric modalities because of its high recognition rate. Here performance comparison among various proposed techniques of Iris Recognition using the fractional coefficients...
An effective electrocardiogram (ECG) signal compression method based on two-dimensional wavelet transform which employs set partitioning in hierarchical trees (SPIHT) and beat reordering technique is presented. This method utilizes the redundancy between adjacent samples and adjacent beats. Beat reordering rearranges beat order in 2D ECG array based on the similarity between adjacent beats. This rearrangement...
This work presents a novel algorithm using wavelet transform and principal component analysis for face and hand gesture recognition on digital images. The testing results of the proposed algorithm are presented. Based on the testing results, it is shown that the proposed algorithm gives an effective performance of face recognition and hand gesture recognition on digital images. In this paper, we also...
Texture feature plays a vital role in content based Image retrieval (CBIR). Wavelet texture feature modeled by generalized Gaussian density (GGD) [1] performs better than discrete wavelet texture feature. Curve let texture feature was proposed in [2]. In this paper, we compute a new texture feature by applying the generalized Gaussian density to the distribution of curve let coefficients which we...
A robust fingerprint recognition system based on marginal statistics of 2D wavelet transform is introduced which significantly improves the accuracy of previous wavelet based approaches due to 1) a better selection of features extracted from the wavelet transform, and 2) a more accurate distance measure to find the similarity between fingerprints. A combination of Jain and Poincare algorithms is employed...
The Electrocardiogram (ECG) shows the electrical activity of the heart and is used by physicians to inspect the heart's condition. Analysis of ECG becomes difficult if noise is embedded with signal during acquisition. In this paper, a denoising technique for ECG signals based on Empirical Mode Decomposition (EMD) is proposed. The noisy ECG signal is initially decomposed into a set of Intrinsic Mode...
Dual Tree Complex Wavelet Transforms (DTCWT) have arisen a lot of interest in the last decade. With the possibility of computing characteristics which are rotation invariable and respond well to oscillations around singularities, shift variance, aliasing and the lack of directionality, DTCWT is an interesting tool to be analyzed and employed in a lot of stages of image processing, (among them being...
A novel descriptor is proposed for invariant pattern recognition by using ring-projection and dual-tree complex wavelets. The ring-projection takes the summation of all pixels that lie on the circle with radius r and centre at the centroid of the pattern. This transforms the pattern from a 2-D image to a 1-D signal, so less memory is needed and it is faster than existing 2-D descriptors in the recognition...
In this paper, a new algorithm for ECG waves segmentation is described. The algorithm is based on the wavelet transform for the complex QRS delineation and a surface indicator for the detection of the T-end waves. The described algorithm was evaluated using ECG signals from the universal database MIT BIH. A sensitivity of 99.35% and a positive predictivity of 99.05% are reached. Those obtained results...
In this paper, we propose a contact free system for palm image recognition. Palm images in Red, Green and Blue spectra are used. The method involves multispectral image acquisition using a dedicated setup, pre processing to dynamically locate the region of interest and image fusion using Fourier and wavelet transform based techniques. In pre processing movement of palm in one plane is taken care of...
Considering the inter-scale dependency between the coefficients, a novel progressive rotation-invariant texture retrieval means based on inter-scale dependency is proposed in this paper. Firstly, Logpolar transform and Non-Subsampled Contourlet Transform (NSCT) are combined to get rotation-invariant multi-scale and multi-direction coefficients, then Generalized Gaussian Distribution (GGD) model is...
A method for Off-line Handwritten Signature Verification is described. It works at the global and local image level, measuring the stroke gray-level variations by means of wavelet analysys and statistical texture features. This method begins with a proposed background removal. Then Wavelet Analysis allows to estimate and alleviate the global influence of ink-type, and finally, properties of the Co-occurrence...
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