Facial recognition investigation is unique of the hot areas both for experts and academicians currently. In this book to effort to expose the proficiency of existing facial recognition algorithms through the comparative assessment. The determination of this research work is to study several facial recognition algorithms and make comparisons in respect of their accuracy. The associated facial recognitions algorithms have been extensively exploited by industries. To proposed new algorithm fusion based learning, our proposed algorithm depending on the (K-Means clustering technique & support vector machine technique) and local Binary Pattern Histogram. The research work focusses on the process of face recognition, with pre-processing of images and face detection. The perception of correspondingly algorithm is illuminated, and the explanation is detailed consequently. Additionally, to assess the efficiency of algorithm a test case with static images was focused and evaluated. The assessments of the test cases designate that facial recognition algorithms the MATLAB has the maximum accuracy to recognize faces. Complete the findings of this study, our goal to conduct additional researches
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Facial recognition investigation is unique of the hot areas both for experts and academicians currently. In this book to effort to expose the proficiency of existing facial recognition algorithms through the comparative assessment. The determination of this research work is to study several facial recognition algorithms and make comparisons in respect of their accuracy. The associated facial recognitions algorithms have been extensively exploited by industries. To proposed new algorithm fusion based learning, our proposed algorithm depending on the (K-Means clustering technique & support vector machine technique) and local Binary Pattern Histogram. The research work focusses on the process of face recognition, with pre-processing of images and face detection. The perception of correspondingly algorithm is illuminated, and the explanation is detailed consequently. Additionally, to assess the efficiency of algorithm a test case with static images was focused and evaluated. The assessments of the test cases designate that facial recognition algorithms the MATLAB has the maximum accuracy to recognize faces. Complete the findings of this study, our goal to conduct additional researches 88 pp. Englisch. N° de réf. du vendeur 9786202796989
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Facial recognition investigation is unique of the hot areas both for experts and academicians currently. In this book to effort to expose the proficiency of existing facial recognition algorithms through the comparative assessment. The determination of this research work is to study several facial recognition algorithms and make comparisons in respect of their accuracy. The associated facial recognitions algorithms have been extensively exploited by industries. To proposed new algorithm fusion based learning, our proposed algorithm depending on the (K-Means clustering technique & support vector machine technique) and local Binary Pattern Histogram. The research work focusses on the process of face recognition, with pre-processing of images and face detection. The perception of correspondingly algorithm is illuminated, and the explanation is detailed consequently. Additionally, to assess the efficiency of algorithm a test case with static images was focused and evaluated. The assessments of the test cases designate that facial recognition algorithms the MATLAB has the maximum accuracy to recognize faces. Complete the findings of this study, our goal to conduct additional researches. N° de réf. du vendeur 9786202796989
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: KUMAR GHANENDRAGhanendra Kumar has earned his PhD degree from the Department of Electronics and Communication Engineering at National Institute of Technology Delhi, India.Chakresh Kumar presently works as an Assistant Professor in US. N° de réf. du vendeur 494133231
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Facial recognition investigation is unique of the hot areas both for experts and academicians currently. In this book to effort to expose the proficiency of existing facial recognition algorithms through the comparative assessment. The determination of this research work is to study several facial recognition algorithms and make comparisons in respect of their accuracy. The associated facial recognitions algorithms have been extensively exploited by industries. To proposed new algorithm fusion based learning, our proposed algorithm depending on the (K-Means clustering technique & support vector machine technique) and local Binary Pattern Histogram. The research work focusses on the process of face recognition, with pre-processing of images and face detection. The perception of correspondingly algorithm is illuminated, and the explanation is detailed consequently. Additionally, to assess the efficiency of algorithm a test case with static images was focused and evaluated. The assessments of the test cases designate that facial recognition algorithms the MATLAB has the maximum accuracy to recognize faces. Complete the findings of this study, our goal to conduct additional researchesVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch. N° de réf. du vendeur 9786202796989
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Taschenbuch. Etat : Neu. Face Recognition Techniques | Ghanendra Kumar (u. a.) | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202796989 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 119049418
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