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Sinopsis
Now a day‘s QR barcodes are becoming popular because it can store more information as compared to one dimensional barcode so many marketing companies use QR barcodes for advertisements. The barcodes can be decoded and stored information can be retrieved easily with mobile phone having barcode scanner application. The main problem arises when the image is captured in low contrast; uneven illumination and blur motion can be added. Another problem arises when the geometry of code is distorted because while capturing the image projection angle is not correct. If the captured images are blurred and geometrically incorrect then it is not readable. As the basic requirement of a code reader is that the image should be a perfect square and no blurriness should be added to it. So, the algorithm should be able to deblur the blurred images and should read the code properly. Secondly, the algorithm should be able to perform geometric correction by converting the code into a perfect square so that it can be recognized easily.
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Reseña del editor
Now a day‘s QR barcodes are becoming popular because it can store more information as compared to one dimensional barcode so many marketing companies use QR barcodes for advertisements. The barcodes can be decoded and stored information can be retrieved easily with mobile phone having barcode scanner application. The main problem arises when the image is captured in low contrast; uneven illumination and blur motion can be added. Another problem arises when the geometry of code is distorted because while capturing the image projection angle is not correct. If the captured images are blurred and geometrically incorrect then it is not readable. As the basic requirement of a code reader is that the image should be a perfect square and no blurriness should be added to it. So, the algorithm should be able to deblur the blurred images and should read the code properly. Secondly, the algorithm should be able to perform geometric correction by converting the code into a perfect square so that it can be recognized easily.
Biografía del autor
Sakshi Gupta is working as Assistant Professor with the Department of Electronics Engineering at Krishna Engineering College,Ghaziabad, India. She has achieved M Tech from Amity University, Noida, India and is pursuing PhD from B.R. Ambedkar Bihar University, India. Her area of interests are Image & Video Processing and Pattern Recognition.
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Fast Algorithm for Recognition of QR Codes
Publicado por
LAP LAMBERT Academic Publishing Jan 2017, 2017
ISBN 10: 3330033401
ISBN 13: 9783330033405
Nuevo
Taschenbuch
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 -Now a day's QR barcodes are becoming popular because it can store more information as compared to one dimensional barcode so many marketing companies use QR barcodes for advertisements. The barcodes can be decoded and stored information can be retrieved easily with mobile phone having barcode scanner application. The main problem arises when the image is captured in low contrast; uneven illumination and blur motion can be added. Another problem arises when the geometry of code is distorted because while capturing the image projection angle is not correct. If the captured images are blurred and geometrically incorrect then it is not readable. As the basic requirement of a code reader is that the image should be a perfect square and no blurriness should be added to it. So, the algorithm should be able to deblur the blurred images and should read the code properly. Secondly, the algorithm should be able to perform geometric correction by converting the code into a perfect square so that it can be recognized easily. 72 pp. Englisch. Nº de ref. del artículo: 9783330033405
Cantidad disponible: 2 disponibles
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Fast Algorithm for Recognition of QR Codes
Publicado por
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330033401
ISBN 13: 9783330033405
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Now a day's QR barcodes are becoming popular because it can store more information as compared to one dimensional barcode so many marketing companies use QR barcodes for advertisements. The barcodes can be decoded and stored information can be retrieved easily with mobile phone having barcode scanner application. The main problem arises when the image is captured in low contrast; uneven illumination and blur motion can be added. Another problem arises when the geometry of code is distorted because while capturing the image projection angle is not correct. If the captured images are blurred and geometrically incorrect then it is not readable. As the basic requirement of a code reader is that the image should be a perfect square and no blurriness should be added to it. So, the algorithm should be able to deblur the blurred images and should read the code properly. Secondly, the algorithm should be able to perform geometric correction by converting the code into a perfect square so that it can be recognized easily. Nº de ref. del artículo: 9783330033405
Cantidad disponible: 1 disponibles
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Fast Algorithm for Recognition of QR Codes
Publicado por
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330033401
ISBN 13: 9783330033405
Nuevo
Tapa blanda
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: Gupta SakshiSakshi Gupta is working as Assistant Professor with the Department of Electronics Engineering at Krishna Engineering College,Ghaziabad, India. She has achieved M Tech from Amity University, Noida, India and is pursuing Ph. Nº de ref. del artículo: 158590369
Cantidad disponible: Más de 20 disponibles
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Fast Algorithm for Recognition of QR Codes
Publicado por
LAP LAMBERT Academic Publishing Jan 2017, 2017
ISBN 10: 3330033401
ISBN 13: 9783330033405
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -Now a day¿s QR barcodes are becoming popular because it can store more information as compared to one dimensional barcode so many marketing companies use QR barcodes for advertisements. The barcodes can be decoded and stored information can be retrieved easily with mobile phone having barcode scanner application. The main problem arises when the image is captured in low contrast; uneven illumination and blur motion can be added. Another problem arises when the geometry of code is distorted because while capturing the image projection angle is not correct. If the captured images are blurred and geometrically incorrect then it is not readable. As the basic requirement of a code reader is that the image should be a perfect square and no blurriness should be added to it. So, the algorithm should be able to deblur the blurred images and should read the code properly. Secondly, the algorithm should be able to perform geometric correction by converting the code into a perfect square so that it can be recognized easily.Books on Demand GmbH, Überseering 33, 22297 Hamburg 72 pp. Englisch. Nº de ref. del artículo: 9783330033405
Cantidad disponible: 2 disponibles
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Fast Algorithm for Recognition of QR Codes
Publicado por
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330033401
ISBN 13: 9783330033405
Nuevo
Paperback
Librería: Revaluation Books, Exeter, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: Brand New. 72 pages. 8.66x5.91x0.17 inches. In Stock. Nº de ref. del artículo: 3330033401
Cantidad disponible: 1 disponibles