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Image-Like 2D Barcodes Using Generalizations of the Kuznetsov–Tsybakov Problem | IEEE Journals & Magazine | IEEE Xplore

Image-Like 2D Barcodes Using Generalizations of the Kuznetsov–Tsybakov Problem


Abstract:

In this paper, we propose a novel method for generating visually appealing two-dimensional (2D) barcodes that resemble meaningful images to human observers. The technolog...Show More

Abstract:

In this paper, we propose a novel method for generating visually appealing two-dimensional (2D) barcodes that resemble meaningful images to human observers. The technology of 2D barcodes, currently dominated by quick response codes, is widely adopted in many applications, including product tracking, document management, and general marketing. Such barcodes typically lack user friendly appearance and do not convey any visual significance to human observers. The proposed method addresses this problem by allowing 2D barcodes to resemble an arbitrary image or a logo. Our method is based on a generalization of the Kuznetsov–Tsybakov problem that served as a foundation for wet paper codes, commonly adopted in digital steganography. We introduce weaker statistical constraints to obtain additional flexibility allowing the barcode to assume the appearance of an arbitrary pattern. This paper provides the theoretical analysis of the proposed coding framework and a practical algorithm for rapid approximation of the optimal code. We also discuss the introduction of error correction capabilities, and experimentally evaluate a prototype implementation in a smartphone-based acquisition scenario.
Published in: IEEE Transactions on Information Forensics and Security ( Volume: 11, Issue: 4, April 2016)
Page(s): 691 - 703
Date of Publication: 07 December 2015

ISSN Information:


I. Introduction

In recent years, two dimensional (2D) barcodes, such as quick response (QR) codes [1] (ISO/IEC standard [2]), have become widely popular as they are frequently used for product tracking, document management and general marketing. In this unidirectional communication method, a specialized device or a smartphone is able to capture the barcode with its camera, and extract the message (e.g., product information) using a dedicated decoder. However, barcodes typically lack user-friendly appearance (e.g., of a logo) that would suggest the contents of the barcode. The visually unattractive QR codes can even be regarded as visible watermarks that occlude a fragment of an image, thus degrading its perceived quality. In order to get rid of the QR code as soon as it has served its purpose, reversible data hiding can be exploited to remove the barcode and recover the content that was obscured to accommodate it [3].

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