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Recognition Method

Usage of Face Recognition method for Biometric verification

Usage of Face Recognition method for Biometric verification

... In this paper we have reviewed a face recognition method based on feature extraction. By using extensive geometry, it is possible to find the contours of the eye, eyebrow, nose, mouth, and even the face ...

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Gesture recognition method based on a single channel sEMG envelope signal

Gesture recognition method based on a single channel sEMG envelope signal

... the recognition accuracy for the study of gesture recognition systems based on ...the method are the increased complexity and the problems such as signal ...gesture recognition method ...

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Quantum Ant Colony Optimizing Theory and Its Application in Fuzzy Pattern Recognition Method of Flatness

Quantum Ant Colony Optimizing Theory and Its Application in Fuzzy Pattern Recognition Method of Flatness

... pattern recognition method is proposed based on quantum ant colony ...fuzzy recognition method, the validity of quantum ant colony theory applied in flatness pattern recognition is ...

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Statistical Recognition Method of Binary BCH Code

Statistical Recognition Method of Binary BCH Code

... statistical recognition method of the binary BCH code is proposed. The method is applied to both primitive and non-primitive binary BCH ...the method has strong capability of anti-random bit ...

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The recognition method for immigrants

The recognition method for immigrants

... the recognition method has resulted not only from its adapting to these new paradigms, but also the analysis in our research indicate that the application of this method on Muslims personal status in ...

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The Dynamic Hand Gesture Recognition Method

The Dynamic Hand Gesture Recognition Method

... transform method for gesture recognition, we came across an another proposed method or algorithm for gesture recognition is firstly it separates the hand region in the complex background ...

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FlexiTerm: a flexible term recognition method

FlexiTerm: a flexible term recognition method

... a method which combines linguistic knowledge and statistical ...C-value method, each term candidate is quantified by its termhood following the idea of a cost-criteria based measure originally introduced ...

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INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES MANAGEMENT IRIS RECOGNITION SYSTEM USING STASTICAL FEATURE EXTRACTION Kriti Masih *1 , C.Chandrakar 2, Monisha Sharma3

INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES MANAGEMENT IRIS RECOGNITION SYSTEM USING STASTICAL FEATURE EXTRACTION Kriti Masih *1 , C.Chandrakar 2, Monisha Sharma3

... Iris recognition is one of the newer biometric technologies used for personal ...iris recognition method includes capturing iris images, testing iris livens, image segmentation, and image ...

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Syllabic structure in Tibetan language . A syllable

Syllabic structure in Tibetan language . A syllable

... handwriting recognition. For improve recognition rate and input speed, there are many ways can be used, one of means is to use language knowledge base on context-sensitive, or speaking, syllable-based ...

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A New Top Down Context Free Parsing for Syntactic Pattern Recognition

A New Top Down Context Free Parsing for Syntactic Pattern Recognition

... pattern recognition method and formal grammars are described and then has been investigated one of the techniques in syntactic pattern recognition called top –down tabular parser known as Earley’s ...

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Scene text recognition in images by character descriptor and structure configuration

Scene text recognition in images by character descriptor and structure configuration

... Lukas Neumann and Jiri Matas., In this paper, we present an end-to-end real-time1 text localization and recognition method which achieves stateof-the-art results on standard datasets. The real-time ...

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Finger estimation method for hand gesture recognition

Finger estimation method for hand gesture recognition

... language recognition [1] [2] [3] [4], and other similar applications like sign lan- guage interpreter for deaf people [5] and robot control [6] ...gesture recognition method which uses higher order ...

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Enhancing Face Recognition using Average per Region

Enhancing Face Recognition using Average per Region

... learning method based on a self-organizing map (SOM), a system based on a conventional neural network (CNN) has been ...face recognition method is proposed based on dividing the face image into ...

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FACE RECOGNITION SYSTEM

FACE RECOGNITION SYSTEM

... Face recognition method is presented using Improved Principal Component Analysis ...proposed method was tested on ORL face database and ...IPCA method has the greater accuracy with consistency ...

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Facial Quality Enhancement Based Vector Segmentation

Facial Quality Enhancement Based Vector Segmentation

... networks, support vector machines (SVM), maximal rejection classification and model based detection. It is difficult for implementing the algorithms that work for all illuminations, sizes and geometries, face colors, and ...

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IRIS Recognition System using Neural Network and Genetic Algorithm

IRIS Recognition System using Neural Network and Genetic Algorithm

... iris recognition is a reliable human identification ...iris recognition consists of iris image capturing, pre-processing, and recognition of iris region in eye ...

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Cursive Handwriting Recognition System using Feature Extraction and Artificial Neural Network

Cursive Handwriting Recognition System using Feature Extraction and Artificial Neural Network

... A series of operations are performed on the scanned input image. It essentially enhances the image rendering it suitable for segmentation. The various tasks performed on the image in pre-processing stage are shown in ...

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Approaches for Automated Object Recognition and Extraction from Images — a Study

Approaches for Automated Object Recognition and Extraction from Images — a Study

... Object Recognition ( OR ) system more adaptable and reacts clev- erly to the changes in the ...The method adopted for RL is the Q-learning method pro- posed by Watkins [ 1 ] ...

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K Means Graph Database Clustering and Matching for Fingerprint Recognition

K Means Graph Database Clustering and Matching for Fingerprint Recognition

... O NI M amount of time [14]. For large model graphs the algorithm is faster than traditional algorithms due to reappearing substructures that naturally evolve in large graphs. But for unlabeled, highly connected graphs, ...

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THE LEARNING METHOD OF SPEECH RECOGNITION BASED ON HMM

THE LEARNING METHOD OF SPEECH RECOGNITION BASED ON HMM

... Voice recognition technology, also known as automatic speech recognition (ASR), its purpose is that the human voice can be converted to a computer-readable input, Such as buttons, binary-coded, or sequence ...

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