effective face detection using de suthar anilkumar (9 resultados)

Condición: New.

Condición: New.

Taschenbuch. Condición: Neu. Effective Face Detection using Machine Intelligence | Anilkumar Suthar | Taschenbuch | 56 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9783330059238 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In growing fast world facial recognition is quiet challenging as there are varieties of faces in the universe and the complexity of noises and backgrounds Face Recognition is one of the key areas under research. It has number of applications and uses. Many methods and algorithms are put forward. Face recognition comes under Bio metric identification like iris, retina, finger prints etc. The features of the face are called bio metric identifiers. The bio metric identifiers are not easily forged; misplaced or shared hence access through bio metric identifier gives us a better secure way to provide service and security. We can also develop many intelligent applications which may provide security and identity. We propose a work on facial Detection in which certain algorithms that are two stages Convolution Neural Network (CNN) and Support-Vector Machine are basically used for feature classification and the Convolution Neural Network (CNN) is feature extraction and by using this algorithm will try to provide accurate and effective Face Detection. 56 pp. Englisch.

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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Suthar AnilkumarDr. Anilkumar Suthar is a Guide and Director of L J Institute of Engineering and Technology.Ms.Prarthana Patel is a post-graduation student in Electronics and Communication (Communication Systems Engineering) at L J I.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In growing fast world facial recognition is quiet challenging as there are varieties of faces in the universe and the complexity of noises and backgrounds Face Recognition is one of the key areas under research. It has number of applications and uses. Many methods and algorithms are put forward. Face recognition comes under Bio metric identification like iris, retina, finger prints etc. The features of the face are called bio metric identifiers. The bio metric identifiers are not easily forged; misplaced or shared hence access through bio metric identifier gives us a better secure way to provide service and security. We can also develop many intelligent applications which may provide security and identity. We propose a work on facial Detection in which certain algorithms that are two stages Convolution Neural Network (CNN) and Support-Vector Machine are basically used for feature classification and the Convolution Neural Network (CNN) is feature extraction and by using this algorithm will try to provide accurate and effective Face Detection.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In growing fast world facial recognition is quiet challenging as there are varieties of faces in the universe and the complexity of noises and backgrounds Face Recognition is one of the key areas under research. It has number of applications and uses. Many methods and algorithms are put forward. Face recognition comes under Bio metric identification like iris, retina, finger prints etc. The features of the face are called bio metric identifiers. The bio metric identifiers are not easily forged; misplaced or shared hence access through bio metric identifier gives us a better secure way to provide service and security. We can also develop many intelligent applications which may provide security and identity. We propose a work on facial Detection in which certain algorithms that are two stages Convolution Neural Network (CNN) and Support-Vector Machine are basically used for feature classification and the Convolution Neural Network (CNN) is feature extraction and by using this algorithm will try to provide accurate and effective Face Detection.