feature extraction

Thus, image segmentation algorithm and image visual feature extraction method are briefly introduced at the beginning of this paper.

Result shows that this algorithm is fast in feature extraction and identification, with especially good performance at low quality images.

The proposed off-line handwritten Chinese character recognition system was composed of a feature extraction module and a recognition module.

Independent component analysis(ICA) are generally used for feature extraction, process monitoring, but rarely used for classification.

The result of face recognition experiment shows that it has powerful ability of feature extraction.

A popular decomposition called principal component analysis (PCA) is widely used for feature extraction.

Proper orthogonal decomposition (POD) is an effective technique for data reduction and feature extraction of a random field.

In the mean time the two parts of image pre-processing and feature extraction about handwritten digit are described in detail.

Experiments show that the proposed algorithm in this paper can be a effective solution to product feature extraction and analysis.

Fingerprint identification can be divided into three processes: fingerprint image pre-processing, feature extraction and fingerprint match.

It is possible for the feature extraction of agricultural spatial data when the emergence of GIS.

Uncorrelated optimal discriminant plane is an important feature extraction method and has been wildly used in the pattern recognition field.

In this paper, we focus on the semi-automatic road feature extraction from remote sensing images by means of human-machine cooperation.

The system was divided into three parts: front end feature extraction part, speaker modeling and recognition part, and decision making part.

Recently, BCI developed rapidly, and its researches mostly concentrated on feature extraction and translation algorithm.

The progress of imaging spectral data classification is reviewed from its two aspects including feature extraction and classifier design.

In pattern recognition and in image processing, Feature extraction is a special form of dimensionality reduction.

Feature extraction can be divided into geometrical feature extraction and algebraic feature extraction.

This rolling element bearing model can be applied to fault feature extraction and fault diagnosis.

A facial expression recognition system contains face detection, face feature extraction, feature selection and expression classification.

preprocessing and feature extraction are important stages in character recognition system , related closely with the classifier precision.

The feature extraction is one of the core techniques of the pattern recognition, so it is very important in the iris recognition system.

The recognition accuracy and efficiency of this method are improved compared with other feature extraction methods.

Feature dimension reduction can be divided into two categories: feature extraction and feature selection.

Mineral oil; Three-dimensional fluorescence spectra; Optical fiber sensing; Feature extraction; Tag sort; Quantitative analysis.

This paper was a review of the methods of feature extraction and feature selection for spam image identification.

Independent Component Analysis (ICA) was presented as an efficient face feature extraction method.

In image recognition algorithm, image preprocessing and image segmentation are firstly used before curve feature extraction and recognition.

This paper researched the feature extraction, quantification, matching model algorithms of isolated word speech recognition.

Different form the conventional algorithms, the proposed algorithms achieve rotation invariance at feature extraction step.

This paper takes design and realization for feature extraction based vehicle tracking method as subject to do further research.

The existing color feature extraction methods include color histogram, accumulative color histogram, color moments.

Iris recognition process is divided into image preprocessing, feature extraction and matching identification.

A novel feature extraction algorithm is presented for the recognition of traffic sign symbols undergoing degradations in this paper.

Data Visualization; Radar Chart; Feature Extraction; Multi-layer Deportation; Feature selection.

An iris recognition algorithm includes three modules: image pre-processing, feature extraction and classification.

Feature selection and feature extraction are the primary method of reducing features in text classification.

Besides feature extraction, front end part also includes end point detection, channel normalization, feature selection.

Among the contend-based retrieval technologies, feature extraction is most important. For instance, color, texture and shape feature etc.

Then, BP features were used for feature extraction of 11 channels ECoG, and feature vectors of 22 dimensions were got.

The research indicates that feature extraction is the highly effective theory and method to optimize hyperspectral data and information.

In this paper feature selection methods and feature extraction methods are colligated. Their advantage and disadvantage are evaluated.

The ordinary methods of feature extraction usually hypothesize the vibration signals have the characters of stationary and Gaussian.

Therefore, the search for good invariance and accuracy of feature extraction methods is essential for the matching accuracy.

To improve the adaption to nonlinearity, a efficient modified kernel ICA algorithm is present to realize feature extraction and recognition.

This paper aims at the investigation of feature extraction of vibration signal and automatic diagnosis techniques of gearbox.

Stored grain insect image segmentation always laid the basis for insects feature extraction and recognition and classification.

Aiming at the problem in electronic countermeasure, we put forward a scheme for feature extraction of intra-pulse modulated radar signals.

Image segmentation is the foundation and crux of object recognization, positioning, feature extraction and modeling.

The strong background noise always makes great difficulty to the feature extraction of the vibration signal.

In the pulse signals, random noise impacts seriously on feature extraction of the effective signal, denoising must be carried out.

This system includes video capture module, the face detect module, the feature extraction module and the face recognition module.

Combining with the information of nostril, it presented a lip feature extraction method to accurately locate six key lip feature points.

A feature extraction algorithm was presented for the recognition of traffic sign symbols under degradations.

The user feature extraction algorithmic in this paper reference from attribute reduction and decision rule extraction of rough set theory.

A good feature extraction method helps to improve the efficiency of pattern recognition system and classification system.

A gait recognition system consists of three primary parts: moving target detection, feature extraction and gait recognition.

A novel feature extraction method from LP residue signal is proposed. This kind of feature has good relation with vocal tract of speaker.

The experiments show that using PCA-LDA method in audio feature extraction is effective for improving the audio classification results.

The main difficulty of off-line handwritten signature verification is feature extraction.

In this thesis, we focus on insect wings image preprocessing, image feature extraction, feature matching selection criteria.

Finally, this paper makes an evaluation on the prospect and application of EEG classification and epilepsy feature extraction.

Considering the human ear hearing characteristics, feature extraction used the MFCC.

It also plays an important role in image restoration, feature extraction, as well as object recognition.

Color space, color quantization and color feature extraction are the main techniques in image retrieval based on color feature.

Evenness, Cotton Yarn Seriplane , Visual assessment, Computerimage recognition, Image processing, Feature extraction, Yarn imperfection.

This paper main research fingerprint image enhancement, feature extraction, features, etc.

Feature extraction is the premise of metric matrix calculation with regard to the metric rectification method on sea image.

Then implement binary image feature extraction to acquire digital information and eigenvectors.

The MFCC coefficients and LPCC coefficients are combined as the speech recognition feature extraction parameters.

Hence, effective feature extraction is the key issue of hyper-spectral images recognition and classification.

An effective algorithm of feature extraction for spotlight synthetic aperture radar images is presented.

An approach to fault feature extraction is presented, which bases on kernel principal component analysis (KPCA).

This algorithm consists of three main modules: the feature extraction, the extension of spectrum and the extension of excitation.

To recognize modulation type of signals involves the process of detection, estimation, feature extraction and classification.

This paper's contribution mainly concentrates on the following two parts: First, we improved that Markov based feature extraction approach.

A novel feature extraction method using block-based independent component analysis (BICA) is proposed in this paper.

Then, operate the feature extraction imagery and the feature vector map to detect the change information and determine their types.

Feature extraction of targets radiated-noise is the key technique of passive sonar target recognition system.

Generally, face classification system has the following three steps: face detection, feature extraction, and classification.

It is introduced in the feature extraction of the vibration signal induced from reciprocating machinery valve, and t.

For these factors, noise processing and sub-pixel feature extraction for SLM microscopic images are studied in this papa.

Based on overall analysis of apple shape, originally, the reference shape method was used in apple shape feature extraction.

The feature extraction algorithm, model of neural network and analysis of results are described briefly.

And the effects of the feature extraction are greatly influenced by the quality of the image.

Results indicate that our new method is effective and competitive than the conventional GLCM feature extraction method.

For energy feature extraction from de-noise signals, It offers a new fault sample for neutral network fault diagnosis.

The approach incorporates knowledge of the shape and dynamics of human gait into the feature extraction process.

Feature extraction method of face image, which boasts simplicity and high recognition rate, is proposed.

This paper proposes a fuzzy feature extraction method for man-made object detection under complex scene.

The news recommendation rule generation part is based on feature extraction part and it is the complement of the system.

Make filtering effect more optimized for the feature extraction and matched.

Third, we preprocess the collected image to make it ready for the future feature extraction.

Feature extraction is a prerequisite for the classification of PD signals.

I realize the edge tracking idea of Wu LiDe, and use it in shape feature extraction.

The process of iris recognition includes iris preprocessing, feature extraction and feature matching.

The proposed method suits for all the problems of algebraic feature extraction.

This paper focuses on the lip image capture, lip feature extraction and lip recognition with Head-Camera.

The problem of failure modeling and feature extraction is solved, and the model can effectively diagnose the coupling failure.

If we do not eliminate these interference points, there will extract many no useful points when we do feature extraction.

Technology of human face area location and feature extraction in color image is introduced in this paper.

And feature extraction is the critical stages in the face recognition.

Recently, many methods of linear feature extraction were proposed.

A new method of incorporating corner information for mouth feature extraction is proposed.

Then it adopts two level feature extraction to dramatically decrease the image data.

Finally, another feature extraction method based on orthogonal subspace of the samples is . . .

After upper facial action unit location and segmentation, we present the facial action unit feature extraction algorithm based on KPCA.

Feature extraction and clarity expression are two main problems in 3D flow visualization research.

As a technique of feature extraction, 2DPCA is effective and efficient.

In this paper, a novel method of feature extraction in non-stable lung sound signals is put forward.

Iris recognition system includes iris image acquiring, image preprocessing, feature extraction, coding and recognition and so on.

In this paper a systematic approach to feature extraction is presented.

This paper proposed a MFCC feature extraction method based on pitch period to improve the performance of speaker recognition.

The selection of features depends on the algorithm of feature extraction , and we use the 14-point ASM(Active Shape Model) in this paper.

Adopts the wavelet packet algorithm for fault feature extraction and proposed a diagnosis method based on band energy.

Feature extraction is a much more difficult work in the pattern recognition but it is also a main point of the automatic tracking system.

Combined the procedure and algorithm of feature extraction, the data blocking based on the feature frame is proposed.

An ameliorate approach method of image character feature extraction based on wavelet multi-scale analysis and entropy.

This method has an advantage in nonlinear feature extraction of mechanical failure signal. 4.

Angle feature extraction provides a new way for gait recognition.

This paper proposes a new method called the two-dimension simulated annealing band selection (2DSABS) for hyperspectral feature extraction.

In addition, the feature extraction methods of range profile for ballistic missile are discussed.

To search a new and effective method for feature extraction and classification based on microarray expression data.

However, the linear feature extraction method based edge points can also be used.

A feature extraction method for palmprint recognition based on Two-Dimensional Principal Component Analysis(2DPCA)is proposed in this paper.

A new algorithm of face recognition based on global and local feature extraction was proposed to solve small samples in LDA.

A nature scene image color-texture feature extraction method based on human visual system(HVS) was proposed.

Feature extraction is the first step in digital image analysis.

A human face feature extraction method based on Divided Discrete Cosine Transform(DDCT)and Linear Discriminant Analysis(LDA) is proposed.

The new method of image matching based on feature extraction and transform domain correlation is proposed in this paper.

In mechanical condition monitoring and fault diagnosis, feature extraction is the most important issue.

Thus, a feature extraction method based on SVM was proposed to select the LSI features fit for classification.

The feature extraction method based on efficient points of response curve is studied in time domain and frequency domain.

first , according to human vision perception theory , we studied texture feature extraction based on wavelet multi - scale analysis.

An improved feature extraction method based on wavelet packet energy moment is presented.

Under the circumstance of seven pairs of electrodes and 6 different feature extraction methods, the average discrimination rate is 95%.

A ship target detection system, which based on the study of target detection, wake detection and feature extraction, has been developed.

Feature extraction is an important step in face recognition, and it can affect the effectiveness of the algorithm.

The method of radar target waveform feature extraction is studied based on non coherent radar target echo.

In order to search for an efficient feature extraction approach for face recognition, a method based on feature level fusion was presented.

Lipschith regularity exponent is introduced as the constraints during multiresolution feature extraction in order to ensure the reliability.

So, a new feature extraction method for color image has been proposed.

Based on RGB color space, this text gives the method of feature extraction and the method of compute the feature vector.

SAR ATR feature extraction based on projection space is deeply studied in this thesis.

Based on the real multispectral data of space targets, a new way of feature extraction is presented.

And in the feature extraction process, a new face recognition method based on CSVD and non Negative Matrix Factorization(NMF) is presented.

This paper introduces a feature extraction method of ship target based on model.

Feature extraction is the most important step in the pattern recognition system of partial discharge.

The feature extraction of ECG waveform is a kind of weak signal characteristic extraction aiming at one dimension ECG signal.

Take the image of Fujian tea "Tieguanyin" for example, this paper studies the tea image feature extraction algorithm.

It is significant to study feature vector. This thesis focuses on feature extraction and feature selection.

The Application of Wavelet Analysis in Feature Extraction of the Surface Fault of Acupuncture Needles

fingerprint identification; fingerprint image enhancement; thinning; feature extraction;

Study of quantitative analysis in sleeve opening creases cosmetics with dermatoglyph feature extraction technique in vivo

Higher Order Non-linearity Time-frequency Representation and Its Application on Feature Extraction for Machine Fault Diagnosis

A covariance estimator for small sample size classification problems and its application to feature extraction

Adaptive Principal Components Extraction Algorithm and Its Applications in the Feature Extraction of Human Face

Electrocardiographic Signal Feature Extraction and Its Instrument Development Based on Continuous Wavelet Transform

Kernel Principal Component Analysis and Its Application to Fault Feature Extraction

Using UV image feature extraction technology to determine plane engine's enrichment phenomenon

Nonparametric Weighted Feature Extraction for Classification

Prediction of Eukaryotic Protein Subcellular Location Using a Novel Feature Extraction Method and Support Vector Machine

insulator; image processing; edge detection; feature extraction; state detection;

Rough Principal Component Analysis and Its Application on Feature Extraction for Gears

SAR image ; azimuth estimation ; support vector machine for regression ; feature extraction ; shadow

Feature Extraction for Magnetic Domain Images of Magneto-optical Recording Films Using Gradient Feature Segmentation

Actuality and expectation of underwater moving target dynamic spectrum feature extraction and enhancement

Application of Adaptive Filtering and Correlation Filtering in Impulse Response Signal Feature Extraction

Feature Extraction of Evidence and Its Application in Modification of Evidence Theory

An Effective Combined Feature Extraction on Handwriting Chinese Character and Recognition Algorithm

Further Feature Extraction and Its Application on Speaker Recognition

Study of Feature Extraction in Radar Anti-answering-deception-jamming

Feature extraction and acoustic signal recognition using principal components analysis

Implementation and amelioration about Chinese feature extraction with complexity index

Wavelet Feature Extraction for the Recognition and Verification of Handwritten Numerals

Fractal Based Feature Extraction of Cutting Force and Its Application in Tool Wear Monitoring

Bispectrum based feature extraction and classification of radiation noises from underwater targets

On Improving Feature Extraction and Identification of Underwater Wideband Echo with Orthogonal Wavelet Packet

Feature Extraction From the Locus of the Internal Friction of a Rotor

Research on Feature Compression and Its Algorithm in Feature Extraction of Target Signal

Feature Extraction for Handwritten Chinese Character by Overlapped Dynamic Meshing and Fuzzy Membership

Methods of Feature Extraction and Applications in Surveying and Mapping Information Pattern Recognition

Study of feature extraction methods in speaker recognition

On Time Frequency Analysis, Feature Extraction and Classification of Ultrasonic Signal of Concrete Structure

Feature Extraction about Reciprocating Compressors Connecting Rod

A New Stroke-based Directional Feature Extraction Approach for Handwritten Chinese Character Recognition

Generalized Discriminant Analysis Feature Extraction of Hyperspectral RS Image

Research on Technique of Passive Sonar Target Recognition Based Modulation Line Spectrum Feature Extraction

Effective Feature Extraction Algorithm for Spotlight Synthetic Aperture Radar Images

Quasi-Newton Iteration Algorithm for ICA and Its Application in VEP Feature Extraction

Studies on Signal Feature Extraction and Sensor Optimization of an Electronic Nose

Feature Extraction with Wavelet and Fractal for Handwritten Chinese Character Recognition

Classification feature extraction of multiple gear faults using genetic programming

Evaluating Approach on Feature Extraction Performance of Artificial Immune NETworks

Speech Processing Algorithm with Combination of CIS Strategy for Cochlear Implants and Feature Extraction

Feature extraction methods of vehicle acoustic signal and application in target classification

Feature extraction based on genetic programming and linear discriminant analysis for fault diagnosis and its application

Support Vector Machine for Spatial Feature Extraction and Classification of Remotely Sensed Imagery

Acoustic Feature Extraction of Rotating Machines Using Blind Source Separation and Wavelet Analysis

Feature Extraction of the Harbor Target and Its Recognition

Application of feature extraction and inversion techniques of shale fractured reservoirs

Automatic Inspection Feature Extraction and Recognition in CMM Inspection Planning

A Study on the Method of Image Pre-Processing and Feature Extraction for Intelligent Recognition of Greenhouse Vegetable Diseases

Target segmentation and feature extraction for undersea image base on function transformation

A Study of Feature Extraction Methods in Speaker Recognition

Study of the Fault Feature Extraction Method for Rotor Rub-impact Based on the Second Generation Wavelet Transformation

Fractal Determination and Feature Extraction from Vibration Waveforms

Better Feature Extraction and Classification of Ship-Radiated Noise with Three Chaos Feature Parameters

Applications of Adaptive Principal Components Extraction Algorithm in the Feature Extraction of Human Face

Three-Dimensional Dynamic Feature Extraction of the Coronary Arteries

Characteristics of non-negative matrix factorization for feature extraction

Feature Extraction of Maximum Frequency Waveforms from Doppler Ultrasound Signals

Morphological feature extraction for cotton disease recognition by machine vision

The Feature Extraction and Recognition Effect Analysis of Autoregression Spectrum

An Effective Algorithm of Feature Extraction and Its Application

Research and implementation of emotional feature extraction and recognition in speech signal

Wavelet Feature Extraction and Classification of Doppler Ultrasound Blood Flow Signals

Complex fifth-order cumulants based higher order coupling feature extraction algorithm

Feature Extraction for Small Training Samples Classifying in Hyperspectral Image

Multi-Layer Channel Normalization for Frequency-Dynamic Feature Extraction

Study on Feature Extraction of Near-infrared Spectroscopy by Correlation Analysis Technique

Feature Extraction by Backpropagation-ANN and Application in Pattern Recognition for Bezoar

Application of wavelet transformation in road feature extraction from remotely sensed image

Algorithms of Feature Extraction from High-Dimensional Objects and their Comparisons

The multi-directional projection pursuit and the feature extraction of hyperspectral remote sensing image

Study of Feature Extraction Approach for Hand-Drawn Electronic Component Symbol Based on Input with Smart Image Card

Algorithm of Feature Extraction in Fingerprint Identification

Experiments and analysis of several feature extraction methods for image registration

Research on Feature Extraction of Seismic Signal for Vehicle Targets and Neural Networks Recognition

Application of Orthogonal Wavelet Transform in State Feature Extraction of Drilling Cutter

Feature Extraction Approach for Rotor Rub-impact Using Second Generation Wavelet Transform

Chromosome Feature Extraction via Topographic Analysis

Radar Target Recognition Based on Instantaneous Polarization Time-Frequency Distribution and Singular Values Feature Extraction

Feature Extraction of Wear Debris Shape and Its Identification with ANN

Segmentation and Feature Extraction of License-Plate Character in Complex Background

A Method of Aircraft Structure Feature Extraction and its Recognition

Fast Algorithm for Feature Extraction and Identification of Infrared Spectra of Polluted Gases

A method for the feature extraction of the infrared image of the photovoltaic array

Wavelet Feature-Based Nonlinear Feature Extraction Technique

Feature extraction and classification of ground penetrating radar echo signals

Feature extraction based on immune clustering analysis and its application in aeroengine fault diagnosis

Classification of membrane protein using a novel method of feature extraction and support vector machine

Image feature extraction in insect kinetic deformation measurement

Research of Feature Extraction Application in Text Information Filtering

Technique of Feature Extraction for Structural Part Model Reconstruction

Efficient Discriminant Feature Extraction and Recognition of Face Images

Wavelet Energy Feature Extraction and Matching for Palmprint Recognition

Feature Extraction and the Design of Classifier in Small Set Handwritten Chinese Character Recognition

Application of Wavelet Package Analysis on Target Intensity Data Feature Extraction

Study of Feature Extraction Based on Autoregressive Modeling in ECG Automatic Diagnosis