License plate detection and recognition, also known as Automatic Number Plate Recognition (ANPR) or Automatic Vehicle Identification, is a surveillance method that is required for a number of purposes including law enforcement, parking lot allocation, gate entry control, etc. Performing this task without using large, bulky and expensive sensors/hardware is a challenging issue. Relevant literature in this context suggests the use of image processing. Due to the efficacy of image processing, a number of ANPR solutions have been introduced. However, these solutions are either limited in operations or work only under specific conditions and environments. Additionally, these systems have certain limitations which make these unfeasible for the implementation. In order to address the issues pertaining to the existing solutions for ANPR, we propose a robust solution for ANPR in this book.
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License plate detection and recognition, also known as Automatic Number Plate Recognition (ANPR) or Automatic Vehicle Identification, is a surveillance method that is required for a number of purposes including law enforcement, parking lot allocation, gate entry control, etc. Performing this task without using large, bulky and expensive sensors/hardware is a challenging issue. Relevant literature in this context suggests the use of image processing. Due to the efficacy of image processing, a number of ANPR solutions have been introduced. However, these solutions are either limited in operations or work only under specific conditions and environments. Additionally, these systems have certain limitations which make these unfeasible for the implementation. In order to address the issues pertaining to the existing solutions for ANPR, we propose a robust solution for ANPR in this book.
Zuhaib Ahmed Shaikh obtained his Bachelors and Masters degrees in computer systems engineering from Quaid-e-Awam University Nawabshah-Pakistan. Currently, he is working as lecturer in computer systems engineering department in the same university. His research interests include image processing, machine learning and embedded systems.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -License plate detection and recognition, also known as Automatic Number Plate Recognition (ANPR) or Automatic Vehicle Identification, is a surveillance method that is required for a number of purposes including law enforcement, parking lot allocation, gate entry control, etc. Performing this task without using large, bulky and expensive sensors/hardware is a challenging issue. Relevant literature in this context suggests the use of image processing. Due to the efficacy of image processing, a number of ANPR solutions have been introduced. However, these solutions are either limited in operations or work only under specific conditions and environments. Additionally, these systems have certain limitations which make these unfeasible for the implementation. In order to address the issues pertaining to the existing solutions for ANPR, we propose a robust solution for ANPR in this book. 56 pp. Englisch. N° de réf. du vendeur 9783659804885
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shaikh Zuhaib A.Zuhaib Ahmed Shaikh obtained his Bachelors and Masters degrees in computer systems engineering from Quaid-e-Awam University Nawabshah-Pakistan. Currently, he is working as lecturer in computer systems engineering depa. N° de réf. du vendeur 158124337
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -License plate detection and recognition, also known as Automatic Number Plate Recognition (ANPR) or Automatic Vehicle Identification, is a surveillance method that is required for a number of purposes including law enforcement, parking lot allocation, gate entry control, etc. Performing this task without using large, bulky and expensive sensors/hardware is a challenging issue. Relevant literature in this context suggests the use of image processing. Due to the efficacy of image processing, a number of ANPR solutions have been introduced. However, these solutions are either limited in operations or work only under specific conditions and environments. Additionally, these systems have certain limitations which make these unfeasible for the implementation. In order to address the issues pertaining to the existing solutions for ANPR, we propose a robust solution for ANPR in this book.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch. N° de réf. du vendeur 9783659804885
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - License plate detection and recognition, also known as Automatic Number Plate Recognition (ANPR) or Automatic Vehicle Identification, is a surveillance method that is required for a number of purposes including law enforcement, parking lot allocation, gate entry control, etc. Performing this task without using large, bulky and expensive sensors/hardware is a challenging issue. Relevant literature in this context suggests the use of image processing. Due to the efficacy of image processing, a number of ANPR solutions have been introduced. However, these solutions are either limited in operations or work only under specific conditions and environments. Additionally, these systems have certain limitations which make these unfeasible for the implementation. In order to address the issues pertaining to the existing solutions for ANPR, we propose a robust solution for ANPR in this book. N° de réf. du vendeur 9783659804885
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Number Plate Detection & Recognition using Deformable Part Models | Zuhaib A. Shaikh (u. a.) | Taschenbuch | 56 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659804885 | 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 104039226
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