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Synopsis
Face recognition has been a very challenging and difficult problem. In spite of the great work done in the last four decades, it can be sure that the face recognition research community will have work to do during, at least, the next two decades to completely solve the problem. This book gives the introduction to information security, digital rights management, biometrics, and brief introduction to still image base d face recognition system. It also covers the brief review of the PCA based face recognition techniques.
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About the Author
Dr. Arjun Vithalrao Mane completed PhD in Computer Science from Dr. Babasaheb Ambedkar Marathwada University, Aurangabad. Currently working as an Assistant Professor in the Institute of Forensic Science, Nagpur (MS-India). Senior Member of IEEE, IACSIT. Areas of interest are Image Processing, Pattern Recognition, Biometric etc.
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Face Recognition Using Principal Component Analysis
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LAP LAMBERT Academic Publishing Jan 2015, 2015
ISBN 10: 3659673641
ISBN 13: 9783659673641
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Face recognition has been a very challenging and difficult problem. In spite of the great work done in the last four decades, it can be sure that the face recognition research community will have work to do during, at least, the next two decades to completely solve the problem. This book gives the introduction to information security, digital rights management, biometrics, and brief introduction to still image base d face recognition system. It also covers the brief review of the PCA based face recognition techniques. 144 pp. Englisch. Seller Inventory # 9783659673641
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Face Recognition Using Principal Component Analysis
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Face recognition has been a very challenging and difficult problem. In spite of the great work done in the last four decades, it can be sure that the face recognition research community will have work to do during, at least, the next two decades to completely solve the problem. This book gives the introduction to information security, digital rights management, biometrics, and brief introduction to still image base d face recognition system. It also covers the brief review of the PCA based face recognition techniques. Seller Inventory # 9783659673641
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Face Recognition Using Principal Component Analysis
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ISBN 10: 3659673641
ISBN 13: 9783659673641
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mane ArjunDr. Arjun Vithalrao Mane completed PhD in Computer Science from Dr. Babasaheb Ambedkar Marathwada University, Aurangabad. Currently working as an Assistant Professor in the Institute of Forensic Science, Nagpur (MS-India). . Seller Inventory # 13413365
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Face Recognition Using Principal Component Analysis
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Face recognition has been a very challenging and difficult problem. In spite of the great work done in the last four decades, it can be sure that the face recognition research community will have work to do during, at least, the next two decades to completely solve the problem. This book gives the introduction to information security, digital rights management, biometrics, and brief introduction to still image base d face recognition system. It also covers the brief review of the PCA based face recognition techniques.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 144 pp. Englisch. Seller Inventory # 9783659673641
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Face Recognition Using Principal Component Analysis
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Taschenbuch. Condition: Neu. Face Recognition Using Principal Component Analysis | Arjun Mane (u. a.) | Taschenbuch | 144 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659673641 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 104898834
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