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Gabor wavelet based classification

FACE RECOGNITION USING GABOR WAVELET TRANSFORM AND FEED FORWARD NEURAL NETWORK

FACE RECOGNITION USING GABOR WAVELET TRANSFORM AND FEED FORWARD NEURAL NETWORK

... Face detection is the first step and major problem in face recognition systems. The main purpose of face detection is to locate and extract the face region from the background. It has several applications such as ...

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Texture Image Classification Using Visual Perceptual Texture Features and Gabor Wavelet Features

Texture Image Classification Using Visual Perceptual Texture Features and Gabor Wavelet Features

... image classification using visual perceptual texture features and Gabor wavelet ...procedure based on a modification of Fisher’s discriminant for texture ...(for Gabor wavelet: ...

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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

... analyzed, Gabor-wavelet features and Statistical ...is Gabor-wavelet method, which has the ability to yield optimized diverse resolution information in both time and frequency domain ...is ...

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Video Based Face Recognition Using Gabor Features and LBP under Varying Illumination or Pose

Video Based Face Recognition Using Gabor Features and LBP under Varying Illumination or Pose

... toned based approach in YCbCr color space, then the face region is segmented from the other skin regions using the REGIONPROPS ...using Gabor wavelet transform by convoluting the Gabor ...

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Iris Recognition based on Translation of Iris
Templates, AHE, HE and Gabor Wavelet Filter

Iris Recognition based on Translation of Iris Templates, AHE, HE and Gabor Wavelet Filter

... system based on human iris which uses a signal processing algorithms with correlation filters having minimum energy and principal component ...iris classification method using iris fiber structure radiating ...

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IDENTIFICATION AND CLASSIFICATION OF TEXTILE DEFECTS USING WAVELET FRAMES AND NEURAL NETWORKS

IDENTIFICATION AND CLASSIFICATION OF TEXTILE DEFECTS USING WAVELET FRAMES AND NEURAL NETWORKS

... and classification is very necessary to maintain good quality of the ...and classification based on computer ...and classification module. In feature extraction module wavelet frames, ...

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Optimal wavelet basis for wavelet packets based meningioma subtype classification

Optimal wavelet basis for wavelet packets based meningioma subtype classification

... the classification accuracy achieved using a wavelets packet based transform technique called Adaptive Discriminant Wavelet Packets Transform (ADWPT) [3] ...simple wavelet transforms are ...

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A Novel Automatic Facial Expression Recognition Method Based on AAM

A Novel Automatic Facial Expression Recognition Method Based on AAM

... recognition based on the minimum number of Gabor wavelet with PCA by SVMs was proposed ...automatically classification of facial images was proposed based on labeled elastic graph with ...

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Mammographic image Classification using Gabor Wavelet

Mammographic image Classification using Gabor Wavelet

... are based on the Structural Risk Minimization principle [10] from statistical learning ...data classification. A classification task usually involves with training and testing data which consist of ...

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Mammogram Image Features Extraction and Classification for Breast Cancer Detection

Mammogram Image Features Extraction and Classification for Breast Cancer Detection

... for classification of medical ...objects. Gabor Wavelet based features are used as inputs to classifier that assign them to the class that they ...

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Iris Recognition based on Robust Features Matching

Iris Recognition based on Robust Features Matching

... used Gabor filters for characterizing texture pattern, where the phase information of the filtered output is encoded in binary ...the Gabor filter or its variant to extract texture information ...for ...

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REVIEW STRATEGY FORFACERECOGNITION USING GABOR FILTER

REVIEW STRATEGY FORFACERECOGNITION USING GABOR FILTER

... using Gabor wavelets. Gabor filter shave optimal localization properties in both spatia and frequency domain ...characteristics, Gabor filters extract facial features from the local ...of ...

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Detection of Diabetic Retinopathy using Image Processing Techniques

Detection of Diabetic Retinopathy using Image Processing Techniques

... 2-D Gabor wavelet for vessel change as a result of their ability to update directional structures and classifier known as Support Vector Machine is ...

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Feature Based Information Fusion Through Gabor Wavelet Transformation and Independent Component Analysis

Feature Based Information Fusion Through Gabor Wavelet Transformation and Independent Component Analysis

... To incorporate all the relevant information regarding each particular tissue type from different modalities, and thus facilitate the subsequent “Choose-Max” information fusion scheme, we apply the independent component ...

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Gabor feature based classification using statistical models for face recognition

Gabor feature based classification using statistical models for face recognition

... feature based approach is the representation of face image in a very compact manner and hence the memory used is ...feature based method aims to find the important local features on a face and represent the ...

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Detection of Diabetic Retinopathy from
Fundus Camera Images

Detection of Diabetic Retinopathy from Fundus Camera Images

... Retinal vessel segmentation using preprocessed Gabor and Local Binary Pattern Classifier have been put forward by Shaharam[6]. Their work illustrates that use of preprocessing increases the accuracy of vessel ...

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Image Enhancement Techniques for Fingerprint Identification

Image Enhancement Techniques for Fingerprint Identification

... c. Wavelet Coefficient Adjustment: After decomposition, a series of wavelet coefficients are obtained each set of the wavelet coefficient corresponds to one resolution level on the dyadic ...

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A comprehensive of transforms, Gabor filter and k-means clustering for text detection in images and video

A comprehensive of transforms, Gabor filter and k-means clustering for text detection in images and video

... of wavelet transform and Gabor filter is ...2D wavelet decomposition with Gabor Filter, the intrinsic features comprising sharpen edges and tex- ture features of an input image are ...resultant ...

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PHOTOGRAPH RETRIEVAL BASED ON FACE SKETCH USING SIFT WITH PCA

PHOTOGRAPH RETRIEVAL BASED ON FACE SKETCH USING SIFT WITH PCA

... Feature extraction is the most widely used feature description technique in appearance based face recognition methods. Despite its poor generalization abilities in unconstrained scenarios, it is being used for the ...

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An Efficient Method for Texture Classification with Local Binary Pattern Based on Wavelet Transformation

An Efficient Method for Texture Classification with Local Binary Pattern Based on Wavelet Transformation

... The LBP is an operator that was first introduced by Ojala et al. [1], and has been shown to be an effective descriptor in texture classification [2]. Firstly, the LBP operator labels the pixels of an image by ...

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