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feature based recognition algorithm

Layered Feature Recognition Algorithm Based on Combined Convolution

Layered Feature Recognition Algorithm Based on Combined Convolution

... to algorithm 4, the loss curve under Pattern refer to Figure 6, the impression under Pattern refer to Figure ...correct recognition rate (CRR) on MNIST test set was shown as Table ...the recognition ...

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Facial Expression Recognition Algorithm Based
On KNN Classifier

Facial Expression Recognition Algorithm Based On KNN Classifier

... emotion recognition from face images based on textural analysis and KNN ...expression recognition (FER) plays an important role in Human Computer Interaction (HCI) systems for measuring people’s ...

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Comparison of Feature-List Cross-Correlation Algorithms with Common Cross-Correlation Algorithms

Comparison of Feature-List Cross-Correlation Algorithms with Common Cross-Correlation Algorithms

... bust algorithm used to solve di ff erent problems in the field of image ...cross-correlation algorithm based on least squared error [2], the block-matching algorithms [3], techniques based on ...

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Simple Human Gesture Detection and Recognition Using a Feature Vector and a Real Time Histogram Based Algorithm

Simple Human Gesture Detection and Recognition Using a Feature Vector and a Real Time Histogram Based Algorithm

... entified based upon movement between ...is based upon two ideas: 1) finding an appropriate mask for subtracting moving objects in the foreground and 2) updating the ...

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Cryptographic Algorithm based Feature Level Fusion of Fingerprint and Iris in a Multi Biometric Recognition System

Cryptographic Algorithm based Feature Level Fusion of Fingerprint and Iris in a Multi Biometric Recognition System

... failure emerging because of biological variables or the client conduct. Since the multi-biometric frameworks combine test information gathered from various sources, it considerably improves accuracy and performance of ...

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Speech Feature Extraction and Recognition Using Genetic Algorithm

Speech Feature Extraction and Recognition Using Genetic Algorithm

... Genetic Algorithm can be found in many research papers [2], [3], ...Genetic Algorithm than others. For example, parallel search based on random multi-points, instead of a single point, was adopted to ...

7

GSM Based Automatic License Plate Recognition System

GSM Based Automatic License Plate Recognition System

... plate recognition technique based on feature based technique using different transform ...of feature in number plate recognition is important phase for recognition ...for ...

5

Electrocardiogram Feature Extraction and Pattern Recognition Using a Novel Windowing Algorithm

Electrocardiogram Feature Extraction and Pattern Recognition Using a Novel Windowing Algorithm

... Windowing Algorithm for Electrocardiogram Feature Extraction and Pattern ...are based on varying R-R ...after feature detections ECG timing intervals like the PR interval, QRS duration, the QT ...

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DWT and DCT based Robust Iris Feature Extraction and Recognition Algorithm for Biometric Personal Identification

DWT and DCT based Robust Iris Feature Extraction and Recognition Algorithm for Biometric Personal Identification

... the algorithm which first convert image into a binary edge map and then detect circle using Hough ...iris recognition based on non separable ...an algorithm using wavelet transform for iris ...

5

A Genetic Algorithm-Based Feature Selection

A Genetic Algorithm-Based Feature Selection

... dimensional feature set can negatively affect the performance of pattern or image recognition ...the recognition system since some of the features may be redundant and non- informative ...statistics, ...

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Speech-Based Emotion Recognition: Feature Selection by Self-Adaptive Multi-Criteria Genetic Algorithm

Speech-Based Emotion Recognition: Feature Selection by Self-Adaptive Multi-Criteria Genetic Algorithm

... emotion recognition is in (Kwon et ...emotion recognition performance of various classifiers: support vector machine, linear discrim- inant analysis, quadratic discriminant analysis and hidden Markov model ...

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An Approach To Feature Selection Algorithm Based On Ant Colony Optimization For Human Emotion Recognition Using Speech

An Approach To Feature Selection Algorithm Based On Ant Colony Optimization For Human Emotion Recognition Using Speech

... speech recognition is a system which basically identifies the emotional as well as physical state of human being from his or her voice ...Emotion recognition is gaining attention due to the widespread ...

7

Partial Fingerprint Recognition of Feature Extraction and Improving Accelerated KAZE Feature Matching Algorithm

Partial Fingerprint Recognition of Feature Extraction and Improving Accelerated KAZE Feature Matching Algorithm

... graph based fingerprint matching ...dynamic algorithm for programming was formed for local neighborhood ...the algorithm used was “Coupled Breadth First Search ...

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A Survey on Feature Extraction Algorithm for the Speech Recognition System

A Survey on Feature Extraction Algorithm for the Speech Recognition System

... (LPC) algorithm is based on linear predictive coefficients derived from the estimated predicted speech signal and the original speech signal [8, 9, ...

5

A DCT-based Local Feature Extraction Algorithm For Palm-print Recognition

A DCT-based Local Feature Extraction Algorithm For Palm-print Recognition

... The recognition task is based on comparing a test palm-print image with template ...the recognition accuracy strongly depends upon the quality of the extracted ...efficient feature extraction ...

8

Feature Subset Selection Using Genetic Algorithm for Named Entity Recognition

Feature Subset Selection Using Genetic Algorithm for Named Entity Recognition

... GA based feature selection technique for NER in three Indian languages, namely Bengali, Hindi and ...proposed feature selection algorithm shows the state-of- the-art performance for all the ...

10

Face Recognition based on a Hybrid Meta heuristic Feature Selection Algorithm

Face Recognition based on a Hybrid Meta heuristic Feature Selection Algorithm

... the feature set is m then there will be 2 m possible feature ...best feature subset can be viewed as a combinatorial optimization problem and is solved using Genetic Algorithms as proposed in ...the ...

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Acoustic Feature Extraction and Optimized Neural Network based Classification for Speaker Recognition

Acoustic Feature Extraction and Optimized Neural Network based Classification for Speaker Recognition

... speaker recognition. To overcome the limitations in speaker recognition performance, two methods are used such as the model based and feature based ...model based method is used ...

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A Review on Fuzzy Logic Based Object Recognition Techniques

A Review on Fuzzy Logic Based Object Recognition Techniques

... object recognition techniques and features and problems of each techniques also this work have case study about various Current optical character recognition (OCR) systems can achieve almost perfect ...

6

A Stochastic Algorithm for Feature Selection in Pattern Recognition

A Stochastic Algorithm for Feature Selection in Pattern Recognition

... wrapper algorithm explores the space of features subsets to optimize the induction algorithm that uses the subset for ...methods based on penalization face a combinatorial challenge when the set of ...

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