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Faster High Density Monochromic QR-Codes with Reduced Error Rate.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Faster High Density Monochromic QR-Codes with Reduced Error Rate./
Author:	Gupta, Kishor Datta.
Description:	1 online resource (92 pages)
Notes:	Source: Masters Abstracts International, Volume: 57-02.
Contained By:	Masters Abstracts International57-02(E).
Subject:	Computer science. -
Online resource:	click for full text (PQDT)
ISBN:	9780355369441

Faster High Density Monochromic QR-Codes with Reduced Error Rate.
Gupta, Kishor Datta.

Faster High Density Monochromic QR-Codes with Reduced Error Rate. - 1 online resource (92 pages)

Source: Masters Abstracts International, Volume: 57-02.

Thesis (M.S.)

Includes bibliographical references

Quick Response (QR) code getting widely popular as mobile computing is increasing. But QR code has data limit problem which researchers tried to solve by making color QR codes. But having color QR codes decoding from printed material has lots of image processing problems which are due to different printers color depth, paper quality, environmental effect, dust, light glare and other environmental effects. In our proposed process, we have applied area-based bit detection by percentage of the color level instead of the general binary color bit detection system. This is independent to the printer and the printed substances effect. There is no needed of color correction palette. We also analyzed the performance of other QR codes with us and we find significant error reductions in our technique. In our process, we used only black and white color to print in each bit module and from the percentage of area covered we deducted the level of color percentage despite positions of color bits in that module which increased its scanning speed and also reduced noise error rate to less than 10 percent.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355369441Subjects--Topical Terms:

573171
Computer science.
Index Terms--Genre/Form:

554714
Electronic books.

Faster High Density Monochromic QR-Codes with Reduced Error Rate.
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005 20180517112611.5
006 m o u
007 cr mn||||a|a||
008 190606s2017 xx obm 000 0 eng d
020 $a 9780355369441
035 $a (MiAaPQ)AAI10619522
035 $a (MiAaPQ)lamar:11077
035 $a AAI10619522
040 $a MiAaPQ $b eng $c MiAaPQ
099 $a TUL $f hyy $c available through World Wide Web
100 1 $a Gupta, Kishor Datta. $3 1182296
245 1 0 $a Faster High Density Monochromic QR-Codes with Reduced Error Rate.
264 0 $c 2017
300 $a 1 online resource (92 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 57-02.
500 $a Includes supplementary digital materials.
500 $a Adviser: Stefan Andrei.
502 $a Thesis (M.S.) $c Lamar University - Beaumont $d 2017.
504 $a Includes bibliographical references
520 $a Quick Response (QR) code getting widely popular as mobile computing is increasing. But QR code has data limit problem which researchers tried to solve by making color QR codes. But having color QR codes decoding from printed material has lots of image processing problems which are due to different printers color depth, paper quality, environmental effect, dust, light glare and other environmental effects. In our proposed process, we have applied area-based bit detection by percentage of the color level instead of the general binary color bit detection system. This is independent to the printer and the printed substances effect. There is no needed of color correction palette. We also analyzed the performance of other QR codes with us and we find significant error reductions in our technique. In our process, we used only black and white color to print in each bit module and from the percentage of area covered we deducted the level of color percentage despite positions of color bits in that module which increased its scanning speed and also reduced noise error rate to less than 10 percent.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Computer science. $3 573171
650 4 $a Computer engineering. $3 569006
655 7 $a Electronic books. $2 local $3 554714
690 $a 0984
690 $a 0464
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Lamar University - Beaumont. $b Computer Science. $3 1148598
773 0 $t Masters Abstracts International $g 57-02(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10619522 $z click for full text (PQDT)