Articles liés à HAND GESTURE RECOGNITION USING IMAGE PROCESSING
Synopsis
To interact with physically disabled people, hand gesture recognition system using MATLAB has been introduced. The most contributing reason for emerging gesture recognition using software is that, they can create a simple path between human and computer interaction. Usually, the focus of this system is to recognize hand configurations including position, orientation, and movements.The main goal of this project is to write a code in MATLAB in order to detect the hand gesture through webcam of laptop and to give relevant outputs based on the database which is already dumped into the code. The overview of the hand gesture recognition is to detect the hand using background subtraction method and the result of hand detection is transformed to a binary image using image segmentation. Then, segmented image is sent to feature extraction stage. In feature extraction stage the Cross-correlation coefficient is applied on the gesture to recognize it from the database.
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HAND GESTURE RECOGNITION USING IMAGE PROCESSING
Edité par
LAP LAMBERT Academic Publishing Jul 2023, 2023
ISBN 10 : 6206737276
ISBN 13 : 9786206737278
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -To interact with physically disabled people, hand gesture recognition system using MATLAB has been introduced. The most contributing reason for emerging gesture recognition using software is that, they can create a simple path between human and computer interaction. Usually, the focus of this system is to recognize hand configurations including position, orientation, and movements.The main goal of this project is to write a code in MATLAB in order to detect the hand gesture through webcam of laptop and to give relevant outputs based on the database which is already dumped into the code. The overview of the hand gesture recognition is to detect the hand using background subtraction method and the result of hand detection is transformed to a binary image using image segmentation. Then, segmented image is sent to feature extraction stage. In feature extraction stage the Cross-correlation coefficient is applied on the gesture to recognize it from the database. 72 pp. Englisch. N° de réf. du vendeur 9786206737278
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HAND GESTURE RECOGNITION USING IMAGE PROCESSING
Edité par
LAP Lambert Academic Publishing, 2023
ISBN 10 : 6206737276
ISBN 13 : 9786206737278
Neuf
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Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. To interact with physically disabled people, hand gesture recognition system using MATLAB has been introduced. The most contributing reason for emerging gesture recognition using software is that, they can create a simple path between human and computer int. N° de réf. du vendeur 978655644
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HAND GESTURE RECOGNITION USING IMAGE PROCESSING
Edité par
LAP LAMBERT Academic Publishing, 2023
ISBN 10 : 6206737276
ISBN 13 : 9786206737278
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - To interact with physically disabled people, hand gesture recognition system using MATLAB has been introduced. The most contributing reason for emerging gesture recognition using software is that, they can create a simple path between human and computer interaction. Usually, the focus of this system is to recognize hand configurations including position, orientation, and movements.The main goal of this project is to write a code in MATLAB in order to detect the hand gesture through webcam of laptop and to give relevant outputs based on the database which is already dumped into the code. The overview of the hand gesture recognition is to detect the hand using background subtraction method and the result of hand detection is transformed to a binary image using image segmentation. Then, segmented image is sent to feature extraction stage. In feature extraction stage the Cross-correlation coefficient is applied on the gesture to recognize it from the database. N° de réf. du vendeur 9786206737278
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HAND GESTURE RECOGNITION USING IMAGE PROCESSING
Edité par
LAP LAMBERT Academic Publishing Jul 2023, 2023
ISBN 10 : 6206737276
ISBN 13 : 9786206737278
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -To interact with physically disabled people, hand gesture recognition system using MATLAB has been introduced. The most contributing reason for emerging gesture recognition using software is that, they can create a simple path between human and computer interaction. Usually, the focus of this system is to recognize hand configurations including position, orientation, and movements.The main goal of this project is to write a code in MATLAB in order to detect the hand gesture through webcam of laptop and to give relevant outputs based on the database which is already dumped into the code. The overview of the hand gesture recognition is to detect the hand using background subtraction method and the result of hand detection is transformed to a binary image using image segmentation. Then, segmented image is sent to feature extraction stage. In feature extraction stage the Cross-correlation coefficient is applied on the gesture to recognize it from the database.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch. N° de réf. du vendeur 9786206737278
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HAND GESTURE RECOGNITION USING IMAGE PROCESSING
Edité par
LAP LAMBERT Academic Publishing, 2023
ISBN 10 : 6206737276
ISBN 13 : 9786206737278
Neuf
Taschenbuch
Vendeur : preigu, Osnabrück, Allemagne
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Taschenbuch. Etat : Neu. HAND GESTURE RECOGNITION USING IMAGE PROCESSING | Anitha Vulugundam (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206737278 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 127326720
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