QR Images: an Automatic Method to Embed QR codes in to Color Images

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2015 by IJCTT Journal
Volume-23 Number-2
Year of Publication : 2015
Authors : Shraddha Bachkar, Prajakta Savkar, Sarika Sarode
  10.14445/22312803/IJCTT-V23P119

MLA

Shraddha Bachkar, Prajakta Savkar, Sarika Sarode "QR Images: an Automatic Method to Embed QR codes in to Color Images". International Journal of Computer Trends and Technology (IJCTT) V23(2):92-95, May 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
A way to introduce the concept of QR images, it is an automatic method to embed the QR codes into color images. This technique can be applied to any color images. The QR information bits are put into the codes over the luminance values. To make it unpleasant the visual perversion of the QR image, the algorithm uses halftoning mask for selection of modified pixels and nonlinear programming techniques to locally optimize luminance levels. A docile model for the probability of error is developed and human visual system model are considered in the quality metric used to minimize the luminance value of the QR image. To minimize the processing time optimization technique is used to consider the common binarization method. It is acceptable for parallel implementations. Results of this project experiment shows graceful disgrace of decoding rate. A visual comparison between the existing and proposed system is shown.

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Keywords
QR code, luminance value, embedding decoding, Halftoning.