國立虎尾科技大學 |

Eyes-free vision-based scanning of aligned barcodes and information extraction from aligned nutrition tables.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Eyes-free vision-based scanning of aligned barcodes and information extraction from aligned nutrition tables./
Author:	Kutiyanawala, Aliasgar.
Description:	1 online resource (148 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 74-09(E), Section: B.
Contained By:	Dissertation Abstracts International74-09B(E).
Subject:	Computer science. -
Online resource:	click for full text (PQDT)
ISBN:	9781303074592

Eyes-free vision-based scanning of aligned barcodes and information extraction from aligned nutrition tables.
Kutiyanawala, Aliasgar.

Eyes-free vision-based scanning of aligned barcodes and information extraction from aligned nutrition tables. - 1 online resource (148 pages)

Source: Dissertation Abstracts International, Volume: 74-09(E), Section: B.

Thesis (Ph.D.)

Includes bibliographical references

Visually impaired (VI) individuals struggle with grocery shopping and have to rely on either friends, family or grocery store associates for shopping. ShopMobile 2 is a proof-of-concept system that allows VI shoppers to shop independently in a grocery store using only their smartphone. Unlike other assistive shopping systems that use dedicated hardware, this system is a software only solution that relies on fast computer vision algorithms. It consists of three modules---an eyes free barcode scanner, an optical character recognition (OCR) module, and a tele-assistance module. The eyes-free barcode scanner allows VI shoppers to locate and retrieve products by scanning barcodes on shelves and on products. The OCR module allows shoppers to read nutrition facts on products and the tele-assistance module allows them to obtain help from sighted individuals at remote locations. This dissertation discusses, provides implementations of, and presents laboratory and real-world experiments related to all three modules.

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

Mode of access: World Wide Web

ISBN: 9781303074592Subjects--Topical Terms:

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

554714
Electronic books.

Eyes-free vision-based scanning of aligned barcodes and information extraction from aligned nutrition tables.
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245 1 0 $a Eyes-free vision-based scanning of aligned barcodes and information extraction from aligned nutrition tables.
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500 $a Source: Dissertation Abstracts International, Volume: 74-09(E), Section: B.
500 $a Adviser: Vladimir Kulyukin.
502 $a Thesis (Ph.D.) $c Utah State University $d 2013.
504 $a Includes bibliographical references
520 $a Visually impaired (VI) individuals struggle with grocery shopping and have to rely on either friends, family or grocery store associates for shopping. ShopMobile 2 is a proof-of-concept system that allows VI shoppers to shop independently in a grocery store using only their smartphone. Unlike other assistive shopping systems that use dedicated hardware, this system is a software only solution that relies on fast computer vision algorithms. It consists of three modules---an eyes free barcode scanner, an optical character recognition (OCR) module, and a tele-assistance module. The eyes-free barcode scanner allows VI shoppers to locate and retrieve products by scanning barcodes on shelves and on products. The OCR module allows shoppers to read nutrition facts on products and the tele-assistance module allows them to obtain help from sighted individuals at remote locations. This dissertation discusses, provides implementations of, and presents laboratory and real-world experiments related to all three modules.
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
655 7 $a Electronic books. $2 local $3 554714
690 $a 0984
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Utah State University. $b Computer Science. $3 1179456
773 0 $t Dissertation Abstracts International $g 74-09B(E).
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