Illumination Invariant Face Recognition: Using Local Binary and Local Ternary Pattern Fusion - Couverture souple

Sharma, Reecha ; Manhotra, Swati

9786202054836: Illumination Invariant Face Recognition: Using Local Binary and Local Ternary Pattern Fusion

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ISBN 10 : 6202054832 ISBN 13 : 9786202054836

Editeur : LAP LAMBERT Academic Publishing, 2017

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In this book an in-depth study of the state-of-art illumination invariant face recognition techniques have been carried out and a method based on the fusion of two different feature extraction techniques is proposed to overcome the adverse illumination conditions. The proposed system uses the gradient based illumination normalization to remove the illuminance component superiority. To obtain the illumination insensitive face representation, a ratio of the gradient amplitude to the original image intensity is obtained. The facial features are extracted using two different feature extraction techniques. Local binary pattern (LBP) is a very efficient local texture descriptor based on thresholding the pixels in a small neighborhood based on the value of the center pixel. Local ternary pattern (LTP) is a noise resistant modified version of LBP. The features vectors provided by the two techniques are fused at feature level. Finally artificial neural network is used in the classification stage for recognition purpose.

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� propos de l?auteur

She is working as Assistant Professor in ECE department Punjabi University Patiala, India. She has eleven years of teaching experience. She has published More than 60 research papers. She has guided 26 M.Tech. students. She has published 7 ebooks. She is professional member of IEEE, IFERP and IAENG. Her area of specialization are DIP and DSP.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2017
Langue: anglais
ISBN 10: 6202054832
ISBN 13: 9786202054836
Reliure: Broch�
Nombre de pages: 88
Coordonn�es du fabricant: non disponible
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Illumination Invariant Face Recognition

Reecha Sharma

Edit� par LAP LAMBERT Academic Publishing Sep 2017, 2017

ISBN 10 : 6202054832 ISBN 13 : 9786202054836

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book an in-depth study of the state-of-art illumination invariant face recognition techniques have been carried out and a method based on the fusion of two different feature extraction techniques is proposed to overcome the adverse illumination conditions. The proposed system uses the gradient based illumination normalization to remove the illuminance component superiority. To obtain the illumination insensitive face representation, a ratio of the gradient amplitude to the original image intensity is obtained. The facial features are extracted using two different feature extraction techniques. Local binary pattern (LBP) is a very efficient local texture descriptor based on thresholding the pixels in a small neighborhood based on the value of the center pixel. Local ternary pattern (LTP) is a noise resistant modified version of LBP. The features vectors provided by the two techniques are fused at feature level. Finally artificial neural network is used in the classification stage for recognition purpose. 88 pp. Englisch. N� de r�f. du vendeur 9786202054836

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Illumination Invariant Face Recognition: Using Local Binary and Local Ternary Pattern Fusion

Sharma, Reecha/ Manhotra, Swati

Edit� par LAP LAMBERT Academic Publishing, 2017

ISBN 10 : 6202054832 ISBN 13 : 9786202054836

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Paperback. Etat : Brand New. 88 pages. 8.66x5.91x0.20 inches. In Stock. N� de r�f. du vendeur zk6202054832

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Illumination Invariant Face Recognition

Reecha Sharma|Swati Manhotra

Edit� par LAP LAMBERT Academic Publishing, 2017

ISBN 10 : 6202054832 ISBN 13 : 9786202054836

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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sharma ReechaShe is working as Assistant Professor in ECE department Punjabi University Patiala, India. She has eleven years of teaching experience. She has published More than 60 research papers. She has guided 26 M.Tech. students. . N� de r�f. du vendeur 175752670

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Illumination Invariant Face Recognition

Reecha Sharma

Edit� par LAP LAMBERT Academic Publishing Sep 2017, 2017

ISBN 10 : 6202054832 ISBN 13 : 9786202054836

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this book an in-depth study of the state-of-art illumination invariant face recognition techniques have been carried out and a method based on the fusion of two different feature extraction techniques is proposed to overcome the adverse illumination conditions. The proposed system uses the gradient based illumination normalization to remove the illuminance component superiority. To obtain the illumination insensitive face representation, a ratio of the gradient amplitude to the original image intensity is obtained. The facial features are extracted using two different feature extraction techniques. Local binary pattern (LBP) is a very efficient local texture descriptor based on thresholding the pixels in a small neighborhood based on the value of the center pixel. Local ternary pattern (LTP) is a noise resistant modified version of LBP. The features vectors provided by the two techniques are fused at feature level. Finally artificial neural network is used in the classification stage for recognition purpose.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 88 pp. Englisch. N� de r�f. du vendeur 9786202054836

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Illumination Invariant Face Recognition : Using Local Binary and Local Ternary Pattern Fusion

Reecha Sharma

Edit� par LAP LAMBERT Academic Publishing, 2017

ISBN 10 : 6202054832 ISBN 13 : 9786202054836

Neuf Taschenbuch

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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book an in-depth study of the state-of-art illumination invariant face recognition techniques have been carried out and a method based on the fusion of two different feature extraction techniques is proposed to overcome the adverse illumination conditions. The proposed system uses the gradient based illumination normalization to remove the illuminance component superiority. To obtain the illumination insensitive face representation, a ratio of the gradient amplitude to the original image intensity is obtained. The facial features are extracted using two different feature extraction techniques. Local binary pattern (LBP) is a very efficient local texture descriptor based on thresholding the pixels in a small neighborhood based on the value of the center pixel. Local ternary pattern (LTP) is a noise resistant modified version of LBP. The features vectors provided by the two techniques are fused at feature level. Finally artificial neural network is used in the classification stage for recognition purpose. N� de r�f. du vendeur 9786202054836

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