Artículos relacionados a Fast Algorithm for Recognition of QR Codes

Fast Algorithm for Recognition of QR Codes - Tapa blanda

Gupta, Sakshi; Dutta, Kanika

 
9783330033405: Fast Algorithm for Recognition of QR Codes

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

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.

"Sobre este título" puede pertenecer a otra edición de este libro.