A secure and reliable channel error correction technique for picode

Chandran, Vidya; Sekhar, Ambika

doi:10.1109/iceice.2017.8192447

Cited by 5 publications

(2 citation statements)

References 6 publications

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“…Then blocks of the final QR Code were embedded into blocks of the desired image using Discrete Wavelet Transform and RGB-HSV conversion. Another system that inserts QR information bits into the luminance value of the user-selected image was presented by (Chandran and Sekhar, 2017). Developed visually appealing QR codes with an L-shaped locator pattern and improved decoding stability using the BCH algorithm.…”

Section: Current Status Of the Knowledgementioning

confidence: 99%

Color Barcodes from Debut to Present: A Broad Survey on the State of the Art

SİRMEN

Ustundag

2023

Alphanumeric Journal

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Efficiently transferring information, which is of major importance for almost all engineering systems, requires a data representative appropriate to maintain the density and consistency of the information dispatched. As such a machine-readable representation of data, barcodes are one of the most recognized and powerful instruments of the purpose in every domain. Likewise, from the perspective of engineering, colors are excellent sources of information exchange, since the transmission of color connotes the conveyance of its entire scalar attributes in the same spatial channel component. Exerting colors on barcodes as an effective way of bursting the data conveyance capacity has been an active area of research for over 50 years. Significant progress has been achieved through efforts in this regard. It is also envisagable that the evident evolution in related technologies exoterically empowers the enhancement of color barcode capabilities as capacity and reliability, thereby further encouraging prospected research in this direction. Herein, a comprehensive survey of the studies on this main area of interest is presented. To help better acquainted with the field, also a taxonomy of the peculiar interference sources and distortion effects is provided, besides, the 3D barcoding process itself and the research areas are described. Most of the relevant works from debut to the present are broadly examined. Rather than presenting a timeline, studies that pertain to similar issues are addressed together. Amongst those related, premising or pivotal ones are preferably cited as far as feasible. Moreover, all perused works are analyzed by the research areas and the results are presented. Also, the issues relatively more prominent as affecting the performance of the whole process are specified. In the conclusion, some of the research subjects that appear open, scarce, or require further elaboration were remarked on as well. It is anticipated this study to contribute to the efforts toward leveraging color in barcodes.

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Section: Current Status Of the Knowledgementioning

confidence: 99%

Color Barcodes from Debut to Present: A Broad Survey on the State of the Art

SİRMEN

Ustundag

2023

Alphanumeric Journal

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“…Ventsov and L.A. Podkolzina (8) proposed a one-dimensional barcode recognition model using the Artificial Neural Network and achieved an accuracy of 97.41%. Vidya Chandran and Ambika Sekhar (9) proposed picture embedded barcodes with Bose Chaudhuri Hocquenghem(BCH) code for encoding and decoding the message for better decidability and showed that for several instances, BCH code outperformed Reed Solomon(RS) code. A. Mittal (10) proposed embedding pictures into barcodes using circular modules altered in the luminance in accordance to center pixel to surrounding pixel and achieved a Structure Similarity Index Measure (SSIM) of 0.65 and Peak Signal-to-Noise Ratio (PSNR) of 11.29.…”

Section: Introductionmentioning

confidence: 99%

Bin Code: Encoding and Decoding of Picture Embedded Barcodes by Novel Intensity Bin

Ieswaria¹,

Bhavani²,

Priya³

2021

IJST

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Objectives: To introduce a new algorithm for embedding pictures into barcodes, thereby facilitating the barcodes to hold the picture about its carrying information. This facilitates easier storage and faster retrieval, thereby avoiding manual errors and time consumption. Methods: The message to be embedded is encoded using Reed Solomon code and then embedded into the image by the proposed modulation method, finally generating a picture embedded barcode. Findings: The image quality and the information embedding capacity achieved by this method are proved to be higher than the previous works. Novelty: This study proposed an encoding/ decoding method for barcodes with pictures with the novel Intensity bins to generate a barcode with maximum visual quality.

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