Review on quick response codes in the field of information security (Analysis of various imperceptibility characteristics on grayscale and binary QR code

Author

Ramya, V. ; Gopinath, G.

Author_Institution

Sch. of Comput. Sci., Eng. & Applic., Bharathidasan Univ., Tiruchirapalli, India

fYear

2014

Firstpage

1

Lastpage

5

Abstract

This paper discusses about the detailed study of Quick Response (QR) codes, their Structures and the current state-of-the-art, in which how the Quick Response Codes are used in the field of Information security. Our Study also examines the various imperceptibility characteristics such as Peak Signal to Noise Ratio, Mean Square Error, Average Difference, Maximum Difference, Normalized Absolute Error based on pixel value based data hiding technique and the findings are presented. This approach gives the best image quality measures between the Cover QR and the Stego QR, as the secret data has been embedded to its best matching pixel value of the cover QR code.

Keywords

binary codes; image coding; image matching; mean square error methods; steganography; average difference; binary QR code; cover QR code; data hiding technique; grayscale QR code; image quality measures; imperceptibility characteristics; information security; maximum difference; mean square error; normalized absolute error; peak signal to noise ratio; pixel value matching; quick response codes; stego QR; Authentication; Bar codes; Conferences; Gray-scale; Histograms; Information security; Payloads; Average Difference; Information hiding; Maximum Difference; Mean Square Error; Normalized Absolute Error; Peak Signal to Noise Ratio; Quick Response Codes;

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Engineering and Technology (ICAET), 2014 International Conference on

Type

conf

DOI

10.1109/ICAET.2014.7105222

Filename

7105222