الفهرس 
An Approach for Expanding the Storage Capacity and Accelerating the Response of QR-Code
AbstractOnly 14 pages are availabe for public view
 |  | from | 137 |  |  |
| | | from | 137 | | |
Abstract
The vast popularity and useful applications of the Quick Response (QR) code are the incentive that encourages the research towards improving both its storage capacity and performance. The main goal of this thesis is to establish a methodology to improve the performance and the storage capacity of the traditional Black & White QR code.
The proposed technique establishes a method to multiplex a set of the traditional Black & White QR codes into RGB color shades to be folded into colored QR code modules. This approach expands the possible storage capacity to be as much as twenty-four folds that of the traditional Black & White QR code yet accelerates the processing for both encoding and decoding processes.
The proposed technique is enhanced and developed into a system capable of handling digital information in any form, (including numerals, Alphabet, characters, binary and images) and on any file types (e.g., WEBP, JPG, PNG, TXT).
The proposed Fast Multiplexing Technique (FMT) system increases the capacity of classical QR code 24 folds and accelerates the processing time for both encoding and decoding processes. That is realized through several experiments that test the capability of the system in processing different file‟s format and different message types over selected benchmark versions of QR code images. Other experiment metrics include the
II
normalized processing time per KB of data, which indicates the improvement of system performance as the file size increases.
The system is also evaluated by comparison to the state-of-the-art colored QR techniques currently available in the literatures. The performance of the implemented system that established the colored QR code proved to be exponentially better. The multiplexing and demultiplexing processes consume fraction of hundreds of thousands of that consumed in the algorithms of the current literatures.