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Sinopsis
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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Reseña del editor
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.
Biografía del autor
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.
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Number Plate Detection & Recognition using Deformable Part Models
Publicado por
LAP Lambert Academic Publishing Jan 2016, 2016
ISBN 10: 3659804886
ISBN 13: 9783659804885
Nuevo
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783659804885
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Number Plate Detection & Recognition using Deformable Part Models
Publicado por
LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659804886
ISBN 13: 9783659804885
Nuevo
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783659804885
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Number Plate Detection & Recognition using Deformable Part Models
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LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659804886
ISBN 13: 9783659804885
Nuevo
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Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: 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. Nº de ref. del artículo: 158124337
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Number Plate Detection & Recognition using Deformable Part Models
Publicado por
LAP LAMBERT Academic Publishing Jan 2016, 2016
ISBN 10: 3659804886
ISBN 13: 9783659804885
Nuevo
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783659804885
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Number Plate Detection & Recognition using Deformable Part Models
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LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659804886
ISBN 13: 9783659804885
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Librería: preigu, Osnabrück, Alemania
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 104039226
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