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Gabor features

A Novel Method Of Face Recognition Using Lbp, Ltp And Gabor Features

A Novel Method Of Face Recognition Using Lbp, Ltp And Gabor Features

... Within the past decade, major advances have occurred in face recognition. Many methods have been proposed for face recognition . However, the performance of most existing face recognition methods is highly sensitive to ...

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Video Based Face Recognition with Gabor Features and Locality Preserving Projections under Varying Partial Occlusion

Video Based Face Recognition with Gabor Features and Locality Preserving Projections under Varying Partial Occlusion

... Here is the brief overview of our proposed approach. Fig 2 shows the complete system flow of our proposed approach. As shown in the figure below given a video the face is first detected using AdaBoost technique. The ...

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Research on Character Recognition Technology of New Tai Lue Based on Gabor Feature and SVM

Research on Character Recognition Technology of New Tai Lue Based on Gabor Feature and SVM

... Abstract. New Tai Lue script which is also known as Simplified Tai Lue, is an alphabet used to write the Tai Lü language used in Xishuangbanna of Yunnan Province in China. In this paper, we present a handwritten ...

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Survey of Advanced Palmprint Recognition Systems

Survey of Advanced Palmprint Recognition Systems

... works, Gabor filter involved with palmprint images were used to extract the ...The features were represented by the use of hamming code and identification is done using hamming distance ...of Gabor ...

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Multiview Smile Detection by Gabor Wavelet Decision Tree Classifier

Multiview Smile Detection by Gabor Wavelet Decision Tree Classifier

... both Gabor features and pixel intensity difference features and pixel intensity features alone are ...extracts Gabor features and then performs classification with the Decision ...

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Brahmi word recognition by supervised techniques

Brahmi word recognition by supervised techniques

... using Gabor features and zone- based feature extraction methods to extract the features of these characters and ANN for the classification of the extracted ...the features and ANN to classify ...

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Entropy-weighted feature-fusion method for head-pose estimation

Entropy-weighted feature-fusion method for head-pose estimation

... entropy-weighted Gabor-phase congruency (EWGP) feature descriptor for head-pose estimation on the basis of feature ...fusion. Gabor features are robust and invariant to differences in orientation and ...

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A method of localization and segmentation of intervertebral discs in spine MRI based on Gabor filter bank

A method of localization and segmentation of intervertebral discs in spine MRI based on Gabor filter bank

... the Gabor filter design, detection of spinal curves, localization of IVDs, and segmentation of ...of Gabor images. Second, Gabor features of the spine are cal- culated and the spinal curves ...

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OBJECT RECOGNITION USING GABOR FEATURE AND CLASSIFIER

OBJECT RECOGNITION USING GABOR FEATURE AND CLASSIFIER

... the Gabor responses over a reduced number of points [6], or (3) downsampling the convolution results [7, ...to Gabor features, Qin and He [10] reduced the size by including only the convolution ...

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Computer Aided Diagnosis Of MR Images

Computer Aided Diagnosis Of MR Images

... the Gabor filter design, detection of spinal curves, localization of IVDs, and segmentation of ...of Gabor images. Second, Gabor features of the spine are calculated and the spinal curves are ...

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Lip Print Recognition Using Gabor and LBP Features

Lip Print Recognition Using Gabor and LBP Features

... recognition, Gabor features and LBP features were extracted from lip prints, then the combination of the both features were classified by ...

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SIGNIFICANT PREPROCESSING METHOD IN EEG BASED EMOTIONS CLASSIFICATION

SIGNIFICANT PREPROCESSING METHOD IN EEG BASED EMOTIONS CLASSIFICATION

... speech features based on some classic techniques or various auditory ...based features like the PLP [3], the MFCC [4] and the LPC [5] or the auditory model based features such as GFCC feature [6] ...

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Role of Feature Selection on Leaf Image Classification

Role of Feature Selection on Leaf Image Classification

... study, Gabor features have been extracted from the enhanced ...term Gabor filter has been coined after the name of Dennis Gabor, who in the year 1946 experimented and subsequently proposed the ...

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Supervised Material Classification in Oblique Aerial Imagery Using Gabor Filter Features

Supervised Material Classification in Oblique Aerial Imagery Using Gabor Filter Features

... that features derived from a set of rotationally invariant bandpass filters fused with color channel information can provide supervised classification accuracies up to 70% with minimal training ...

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Design Approach for Content-based Image Retrieval using Gabor-Zernike features

Design Approach for Content-based Image Retrieval using Gabor-Zernike features

... A collection of images of the JPEG category was done in oder to create the image database used in our experiments.Ten images of four diffferent classes of images each were chosen in order to extract the texture feature ...

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A Review on Content Based Image Retrieval Techniques Dahale Sunil V 1, Dr. S. B. Thorat2 , Dr. P. K. Butey 3

A Review on Content Based Image Retrieval Techniques Dahale Sunil V 1, Dr. S. B. Thorat2 , Dr. P. K. Butey 3

... visual features from images and uses them to index images, such as color feature, texture feature and shape ...extracted features are always ...used features in low-level feature ...from Gabor ...

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DETECTING MOTION BY COMBINING THE STRUCTURE TEXTURE IMAGE DECOMPOSITION AND 
SPACE TIME INTEREST POINTS

DETECTING MOTION BY COMBINING THE STRUCTURE TEXTURE IMAGE DECOMPOSITION AND SPACE TIME INTEREST POINTS

... images. Features were extracted using discrete wavelet transformation ...of features was reduced by using principles component analysis (PCA) to the more essential ...

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Volume 3, Issue 2, February 2014 Page 238

Volume 3, Issue 2, February 2014 Page 238

... Volume 3, Issue 2, February 2014 Page 243 The EBGM algorithm operates in three phases. First, important landmarks on the face are located by comparing Gabor jets extracted from the new image to Gabor jets ...

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Breast tumor detection and classification in Mammograms: Gabor wavelet vs. statistical features

Breast tumor detection and classification in Mammograms: Gabor wavelet vs. statistical features

... Hapfelmeier et al. [13] evaluated two computer aided diagnosis prototypes which includes segmentation, texture feature extraction, and classification for mass lesions and micro calcification for evaluating the hazard of ...

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Identity Verification of Individuals Based on Retinal Features Using Gabor Filters and SVM

Identity Verification of Individuals Based on Retinal Features Using Gabor Filters and SVM

... extracted features of every user to other image patterns of the same ...vector features of every user to other vector features of all users in the data ...

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