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Fast Algorithm for Recognition of QR Codes - Softcover

 
9783330033405: Fast Algorithm for Recognition of QR Codes

Inhaltsangabe

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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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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Zustand: 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. Bestandsnummer des Verkäufers 158590369

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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783330033405

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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783330033405

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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783330033405

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Paperback. Zustand: Brand New. 72 pages. 8.66x5.91x0.17 inches. In Stock. Bestandsnummer des Verkäufers 3330033401

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