Decoding Robustness Performance Comparison for QR and Data Matrix Code

Kulshreshtha, Rishab and Kamboj, Ayushi and Singh, Sanjay (2012) Decoding Robustness Performance Comparison for QR and Data Matrix Code. In: International Conference on Computational Science, Engineering, October 26-28, Coimbatore [Tamil Nadu, India].

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In current market there is a need to facilitate the develop- ment of numerous applications where users can get and com- municate information through coded symbologies in many domains. Cameras on mobile phones have become an inte- gral part of the devices. Powered by increasing computa- tional capability, these cameras designed primarily for tak- ing pictures, are being used as ubiquitous input devices which acquire information from the physical world exam- ple to translate documents, signs or to perform image based search. So far one of the most successful applications of camera phones is to scan 2D barcodes printed on products, papers, advertisements and business cards. This capability allows users to use one click to transfer meta-data (i.e. prod- uct code, URLs, etc.) to mobile devices instead of typing. It provides an alternative data channel for data transfer using visual communication. It does not require special hardware or data plans. In this paper we have compared the decoding robustness of QR Code and data matrix barcode subjected with varying degree of noise. From the experiment it is in- ferred that data matrix code is more robust to noise and decodable than the QR code with the same level of noise.

Item Type: Conference or Workshop Item (Paper)
Subjects: Engineering > MIT Manipal > Information and Communication Technology
Depositing User: MIT Library
Date Deposited: 04 Mar 2013 05:04
Last Modified: 04 Mar 2013 05:04

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