[PDF] Top 20 A PalmprintAuthentication Based on Local Texture Features
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A PalmprintAuthentication Based on Local Texture Features
... D. Huang, W. Jia, and D. Zhang[5] proposed a novel algorithm for the automatic classification of low- resolutionpalmprints. First the principal lines of the palm are defined using their position and thickness. Principal ... See full document
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A Novel CBIR Based System using Texture Fused LBP Variants and GLCM Features
... Extended Local Binary Pattern compares the local median of images instead of intensities of the raw ...GLCM features of DRLBP and histogram of MRELBP are combined for getting a large feature ... See full document
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Selective local texture features based face recognition with single sample per class
... In recent years, face recognition has received much attention in many areas such as entertainment, information security, law enforcement, and surveillance [36]. Most of the face- recognition methods such as eigenfaces ... See full document
7
3D Face Recognition system Based on Texture Gabor Features using PCA and Support Vector Machine as a Classifier
... The 2D Gabor filters of depth and intensity images of faces are used to characterize an individuals’ face. The Gabor wavelets represent the properties of spatial localization, orientation selectivity, spatial frequency ... See full document
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Classification of Emphysema Subtypes: Comparative Assessment of Local Binary Patterns and Related Texture Features
... Although percentage of low-attenuation volume is commonly used as emphysema quantification [6] [24], it ignores the emphysema subtypes. To precisely investigate the relationship between emphysema subtypes and airflow ... See full document
Color Directional Local Quinary Patterns for Content Based Indexing and Retrieval
... semantic based. In recent times, web-based search engines such as, Google, Yahoo, ...images based on text keyword ...content based image retrieval ” (CBIR) is ...content based approach ... See full document
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TEXTURE SEGMENTATION APPROACH BASED ON ENTROPY BASED LOCAL BINARY PATTERN OPERATOR
... candidate features; select a subset that performs the best under classification ...using local features generated over interest points, delivering higher robustness against partial occlusion and ... See full document
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Segmentation of moving objects in image sequence based on perceptual similarity of local texture and photometric features
... method based on Dirichlet process Gaussian mixture ...dynamic texture (DT) features obtained in the center and surrounding win- ...DT features and classes (background, ...a local ... See full document
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Recent Advances in Palm Vein Recognition using Minutiae Based and Texture based Feature Extraction Methods
... recognition texture features plays a vital role. Texture is defined in terms of some properties such as coarseness, smoothness and ...the texture of ...of Texture based ... See full document
6
Novel Approach in Face Recognition using Hieratical Multi Scale Local Binary Pattern with ELM Classifier
... that texture descriptor has been validated that “uniform” patterns play an important role in texture classification ...learning based algorithms, which require some training samples to discover ... See full document
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Content-Based Image Retrieval Based on Texture and Color Combinations Using Tamura Texture Features and Gabor Texture Methods
... The Gabor filter is constructed by modulating a sine or cosine wave with a Gaussian, thus providing the optimally combined localization in space and frequency. The modulation of sine waves with gaussian provides ... See full document
5
Fruit Disease Classification based on Texture Features
... and texture features to validate the accuracy and ...The features used for the apple fruit disease classification problem are Global Color Histogram, Color Coherence Vector, Local Binary ... See full document
5
Proposed a Content Based Image Retrieval System Based on the Shape and Texture Features
... words, for the complete image space and specific vertical and horizontal semi-globe edge, in addition to local ones, we may need the information on the edge distribution. Fortunately, we can produce the global and ... See full document
8
Local spatiotemporal features for dynamic texture synthesis
... of local spatiotemporal features for dynamic texture synthesis has been ...LBP-TOP features, instead of just making use of the intensity of ...LBP-TOP features have the capability of ... See full document
15
Image Retrieval based on Local Histogram and Texture Features
... images based on sum of the values of Local Histogram and GLCM (Gray Level Co-occurrence Matrix) texture to enhance the retrieval ...of local values is calculated and stored. Similarly the ... See full document
6
Block-based cloud classification with statistical features and distribution of local texture features
... formed based on fixed-size blocks in the all-sky ...statistical features in the literature, we com- bine the histogram of local texture patterns in the feature vec- ...discriminate ... See full document
10
Palmprint Recognition by using Modified LOCAL BINARY PATTERN
... efficient texture based recognition on multi scale local binary pattern (LBP) texture features ...representative features, “uniform” LBP was proposed and its effectiveness has ... See full document
8
Texture Features to Evaluate Biometric Verification System using Handvein and Palmprint
... method based on discriminative neighboring direction indictor that will represent the orientation feature of the ...unique local descriptor called Local Micro-structure Tetra Pattern ...line-shaped ... See full document
5
Palmprint Identification System Based on Local and Texture Features using KNN Classifier
... As a potential way of identifying person in security application, biometric has received an increased research interest and considered to be one of the most important and reliable methods in the field of information ... See full document
8
A Study on the Impact of Ethical Behaviour of Firms on Global Competitiveness Ranking
... uses local spectral histograms to provide combined spectral and texture features where each feature is regarded as a linear combination of several descriptive features, we frame the ... See full document
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