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Face recognition on a tilted face with expression poses challenging tasks. This paper presents an investigation of face recognition based on a Gabor Filter and Oriented Gabor Phase Congruency Image with Random Forest. Gabor Filter (GF) gives the magnitude information and Oriented Gabor Phase Congruency Image (OGPCI) gives the phase information of the Gabor response. Random Forest (RF) is used as an...
Much work has been done on the assessment of texture descriptors for image retrieval in many domains. In this work, we evaluate the accuracy and performance of three wellknown texture descriptors – Gabor Filters, GLCM, and LBP – for seismic image retrieval. These subsurface images pose challenges yet not thoroughly investigated in previous works, which are addressed and evaluated in our experiments...
Technological advances in digitization with a variety of image manipulation techniques enable the creation of printed documents illegally. Correspondingly, many researchers conduct studies in determining whether the document printed counterfeit or original. This study examines the several statistical feature sets from Gray Level Co-occurrence Matrix (GLCM), Discrete Wavelet Transform (DWT), Spatial...
An emotion recognition method from the face images is proposed in this paper, which can recognize seven emotions of human, i.e., six basic expressions in addition to neutral. The proposed method uses the GLCM approach for feature extraction and the nearest neighbor (NN) for classification. The fuzzy Euclidean distance is used. GLCM provides the texture characteristics of an input image through the...
In this research paper three biometric characteristics are used i.e. Fingerprint, Face, Iris at score level of Fusion. For finger print images two methods are used i.e. Minutiae Extraction and Gabor filter approach. For Iris recognition system Gabor wavelet is used for feature selection. For Face biometric system P.C.A. is used for feature selection. The match count of every trait is calculated. Then...
Biometrie Authentication is the main stream to attract attention of researcher to develop algorithm for data and security concern. The palm vein biometric is emerging as the most promising physiological characteristic to develop efficient recognition system. This paper discuss about the new dimension to generate biometric trait key rather a template free key generation extracted by means of rigorous...
In informational age there are many information crucial to a individual. To protect the data from the unwanted use we proposed the biometric system of vein recognition as today's world demand for a easy and accurate biometric system to protect our data. The biometric system is accurate and easy to use as every individual has a unique vein pattern. In this paper we have studied various method used...
In this paper, a new approach for personal identity verification using finger knuckle images and least-square contour alignment method has been proposed. A special test rig with a digital camera was prepared for acquisition the knuckle images. Next, the obtained images of finger knuckle were subjected to image processing method in order to extract the knuckle furrows from them. The verification of...
With the purpose of automatic detection of crowd patterns including abrupt and abnormal changes, a novel approach for extracting motion “textures” from dynamic Spatio-Temporal Volume (STV) blocks formulated by live video streams has been proposed. This paper starts from introducing the common approach for STV construction and corresponding Spatio-Temporal Texture (STT) extraction techniques. Next...
Image Multi-label Classification (IMC) assigns a label or a set of labels to an image. The big demand for image annotation and archiving in the web attracts the researchers to develop many algorithms for this application domain. The Multi-Instance Multi-Label Learning (MIML) is an important type of machine learning framework proposed recently for IMC. In this framework, an image is described with...
2D Gabor filters are sinusoidal waves of some frequency and orientation within a 2D Gaussian envelope and are used to model simple cells (S1) in primate visual cortex. Visual system in primates extracts information both in 2D spatial and frequency domains. In this paper, we use multiple spatial frequencies to model S1 cells in primates visual cortex. Thereafter, we use MAX and STD operators to extract...
In this paper, we propose a light version (LV) algorithm that can recognize iris images in smartphones. The contribution is threefold. Firstly, we modified and re-designed the iris recognition algorithm that is capable of working in smartphone environment. Secondly, the modified algorithm is then extended in such a way that the best optimized solution can be found for authentication or verification...
High voltage insulators are widely deployed in power systems to isolate the live- and dead-part of overhead lines as well as to support the power line conductors mechanically. Permanent, secure and safe operation of power transmission lines require that the high voltage insulators are inspected and monitor, regularly. Severe environment conditions will influence insulator surface and change creepage...
Mammography is still the most effective procedure for early diagnosis of the breast cancer. Computer-aided Diagnosis (CAD) systems can be very helpful in this direction for radiologists to recognize abnormal and normal regions of interest in digital mammograms faster than traditional screening program. In this work, we propose a new method for breast cancer identification of all types of lesions in...
Identification of embryos in the eggs is very important first step in the process of sorting the eggs can hatch. identification system which is used to compare the input images of the object with the object database and produce eggs that are trained to see the separation between eggs that have embryos that do not have an embryo. While thresholding is one method that can be used to identify the condition...
Crowd density estimation is an effective automated video surveillance technique to ensure crowd safety. In spite of various efforts being taken to estimate crowd density, it remains a challenging task. This paper proposes a new texture feature-based approach for the estimation of crowd density where two efficient texture features namely Local Binary Pattern (LBP) and Gabor Filter are used. The LBP...
Prostate Cancer is one of the most common types of cancer found in men aged over 40 years. Detection and staging is the most critical step for pathologists. This research supports the development of Computer Aided Detection system capable of grading prostate cancer with high accuracy and less human involvement. Real patient dataset collection is a challenge, we collected real and graded dataset from...
Extract facial feature is considered as the most important step in face recognition systems. Several researches have been made to improve facial feature extraction techniques. This paper proposes hybrid global and local feature based on Gabor filter bank and double coding local binary pattern (LBP). The proposed features are concatenated and reduced using generalized discriminant analysis (GDA). The...
Non-Local means (NL-Means) algorithm is an effective denoising algorithm, but very dependent on the measured non-local similarity image blocks. In order to obtain as many similar image blocks as possible, we propose the Discrete Fourier Transform of local Gabor feature (LGF-DFT) which is rotation invariant and noise robust to measure the image blocks similarity, and fully utilize structural information...
Aiming at the realization of national feature extraction, an improved face recognition method is proposed in order to preserve some essential local features. Gabor featurebased on bi-directional two-dimensional principal component analysis ((2D)2PCA) is applied for face images. Firstly, Gabor features of different orientations and scales are extracted by the convolution of Gabor filter bank. Secondly,...
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