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Biometrics has been widely used in the last decades for security purposes and for increasing the confidence of people in the new informational systems. The present paper presents a new analysis and encoding method of dorsal hand vein patterns, for biometric recognition. Two multiresolution approaches, Discrete Wavelet Transform and Riesz Wavelet Transform, are firstly applied to extract directional...
The research interest in fetal heart rate (FHR) monitoring dates back to the 1960s, and the breakthrough on fetal surveillance has been seen during the 1990s with computerized systems. Notwithstanding the general use of cardiotocography (CTG) in fetal monitoring, the assessment of fetal well-being exhibits a significant inter- and even intraobserver variability. Computerized CTG analysis has seen...
Videos are warehouse of information. A good retrieval system is essential for timely access to definitive and accurate information. This paper presents an approach for retrieving shots containing similar text using query by example paradigm. Localization of text is based on Kirsch Direction Mask (KDM). From the localized text region, texture features viz. Local Binary Pattern Variance (LBPV) are obtained...
Recognition of human emotions from the imaging templates is useful in a wide variety of human-computer interaction and intelligent systems applications. However, the automatic recognition of facial expressions using image template matching techniques suffer from the natural variability with facial features and recording conditions. In spite of the progress achieved in facial emotion recognition in...
A face recognition system which represents each image as a superposition of the dominant components in two transform domains is proposed. The Discrete Wavelet Transform (DWT) and the Discrete Cosine Transform (DCT) are the two domains. By the end of the Training mode, each pose in the gallery will have two final matrices. Feature Extraction step in the Training includes transforming the preprocessed...
A new approach based on applying the Two Dimensional Discrete Multiwavelet Transform (2D DMWT) to the partitioned faces is proposed in this paper for face recognition. First, the input facial image is divided into six parts in the preprocessing step to reduce the effect of the unnecessary information (background) on the system performance. Then, the 2D DMWT is applied to each part for feature extraction...
An Image Retrieval (IR) system is used for accessing and retrieving the images from large image database. Content means the image features like color, texture and shape of the image. For Color feature, it is scaling and rotation invariant. It encrypts the color data they are a good component to use under changing lighting conditions. Three color moments are figured per channel (e.g. 6 minutes if the...
This paper aims to experimental evaluation of different methodologies to recognize human face based on different facial expression. The face and facial images were captured locally, as the experiment is aimed to be done in India domain. The features were extracted based on two techniques, viz, Discrete Wavelet Transform (DWT) and Local Binary Pattern (LBP). The range of extracted feature is 150,300,600,1200...
According to the World Health Organization, Morocco is classified in the third category of the number of deaths related to cardiovascular diseases. To reduce the number, it is necessary to early detect and identify cardiac problems by monitoring patient's heart activity, which is directly related to the location of the QRS complex. Hence, accurate electrocardiogram feature extraction is a primordial...
This paper presents a unique Comparative Study of Features Fusion Techniques for Iris. In 1993, Daughman developed IrisCode and it is influenced many researchers to develop different Iris Recognition System using different techniques. Iris Features are extracted using existing techniques like 2D-FFT, DWC, LBP, PCA etc. More information is extracted by fusing multiple features. Feature Fusion is a...
In this correspondence, texture analysis of gradient images has been analyzed for the categorization of mammo-graphic masses as benign or malignant. In addition to the local texture feature, Local Binary Pattern, approximation coefficients have been extracted from the gradient images using wavelet transform to evaluate their efficiency in a Computer-Aided Diagnosis (CADx) system. The experiments have...
Multimodal biometrics is often used as it solves the issues of unimodal biometrics like non-universality, noisy data and security. Face and palmprint of a person do not change easily with time. To extract both local and global features of an image, we propose a partition based DWT (Discrete Wavelet Transform) and 2DPCA (2Dimensional Principal Component Analysis) for feature extraction. The fusion...
A supervised facial recognition system is proposed in this paper. There are three main phases in the proposed system, namely, Preprocessing, Feature Extraction, and Classification. Cropping, choosing appropriate dimensions, and prefiltering are performed in the first phase. In the feature extraction phase, Two Dimensional Discrete Multiwavelet Transform (2D DMWT) is applied to the facial images to...
The face recognition problem has been extensively studied by many researchers but accuracy is not satisfactory. This work presents analysis and performance evaluation of global methods (PCA, FLD, DCT, DWT), local methods (SIFT, LBP) and all possible fusions of two methods among them. The fusion is done by consolidating the output of multiple feature extraction algorithms at score levels using four...
This paper presents a spatial biometric watermarking scheme for multimodal authentication system. This method embeds the face features (watermark) into the fingerprint image (cover) via a generated secret key to locate the pixels to be watermarked while preserving the fingerprint minutia points. The face features are extracted using Orthogonal Locality Preserving Projections technique. The proposed...
A new approach for facial recognition employing Two Dimensional Discrete Wavelet Transform (2D DWT) and Vector Quantization (VQ) is proposed. preprocessing, feature extraction, and classification are the three main phases in this paper. A cropping technique and appropriate dimensions selection are employed in the preprocessing step. In the feature extraction step, 2D DWT is applied to the processed...
This work describes a methodology for plant classification based on the analysis of leaf textures by combining a multi-resolution technique, such as the two-dimensional (2D) Discrete Wavelet Transform (2D-DWT), statistical models and Gray-Level Co-occurrence Matrices (GLCM) in which some invariance (e.g. rotation and scale) are achieved. As a second step, an Artificial Neural Network (ANN) model is...
In this paper, we propose a new secure content based image retrieval (SCBIR) system adapted to the cloud framework. This solution allows a physician to retrieve images of similar content within an outsourced and encrypted image database, without decrypting them. Contrarily to actual CBIR approaches in the encrypted domain, the originality of the proposed scheme stands on the fact that the features...
Image forgery has become common due to the availability of high-quality image editing softwares. For detecting image forgery there is a need to have important features of the image. For obtaining the image features we need a suitable transform. One of the important and commonly used transform is discrete wavelet transform that can provide spatial and frequency related information of a signal. However,...
In this paper, a robust technique to construct feature vector for gender classification has been proposed. Discrete Wavelet transform is used in concatenation with Discrete Cosine transform to form the feature vector. Initially, multi-level Discrete Wavelet transform is applied to images to obtain the approximation coefficients of image. Discrete Cosine transform are then calculated for the obtained...
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