Real-time barcode reader using active vision

Barcodes are commonly used with merchandise to speed up product checkout at department stores and to keep inventory. A barcode is a machine readable code consisting of a series of bars and spaces printed in defined ratios. The function of the barcode scanner is to “read” the image presented by the b...

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Main Author:	Ullah Sheikh, Usman
Format:	Thesis
Language:	English
Published:	2004
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/3007/1/UsmanUllahSheikhMFKE2004.pdf
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id	my-utm-ep.3007
record_format	uketd_dc
spelling	my-utm-ep.30072018-06-25T00:46:01Z Real-time barcode reader using active vision 2004-10 Ullah Sheikh, Usman TK Electrical engineering. Electronics Nuclear engineering Barcodes are commonly used with merchandise to speed up product checkout at department stores and to keep inventory. A barcode is a machine readable code consisting of a series of bars and spaces printed in defined ratios. The function of the barcode scanner is to “read” the image presented by the bar code. Common handheld scanning technologies include wands and lasers. They have some limitations such as limited depth of field, limited life span due to mechanical wear and the barcodes must reside on flat surfaces. Besides that, barcodes must be aligned in a proper way for reading thus limiting the robustness of these readers. This project is aimed towards improving these limitations, by using an active vision system. This project is to decode the UPC-A and EAN-13 barcodes using an active vision system, consisting of a camera and user-written software. The camera will feed the software with continuous frames of images from the environment. These images are converted to grayscale and some preprocessing is performed. Image is filtered (such as sharpening and noise reduction) and converted to binary. An adaptive thresholding algorithm is used to reduce the effects of uneven illumination. Image is then scanned horizontally, vertically and diagonally for barcodes, thus enabling it to decode rotated barcodes. Error correction and predictive decoding is implemented to improve the speed and accuracy of the system. Overall system performance is benchmarked with existing commercially available software. 2004-10 Thesis http://eprints.utm.my/id/eprint/3007/ http://eprints.utm.my/id/eprint/3007/1/UsmanUllahSheikhMFKE2004.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Ullah Sheikh, Usman Real-time barcode reader using active vision
description	Barcodes are commonly used with merchandise to speed up product checkout at department stores and to keep inventory. A barcode is a machine readable code consisting of a series of bars and spaces printed in defined ratios. The function of the barcode scanner is to “read” the image presented by the bar code. Common handheld scanning technologies include wands and lasers. They have some limitations such as limited depth of field, limited life span due to mechanical wear and the barcodes must reside on flat surfaces. Besides that, barcodes must be aligned in a proper way for reading thus limiting the robustness of these readers. This project is aimed towards improving these limitations, by using an active vision system. This project is to decode the UPC-A and EAN-13 barcodes using an active vision system, consisting of a camera and user-written software. The camera will feed the software with continuous frames of images from the environment. These images are converted to grayscale and some preprocessing is performed. Image is filtered (such as sharpening and noise reduction) and converted to binary. An adaptive thresholding algorithm is used to reduce the effects of uneven illumination. Image is then scanned horizontally, vertically and diagonally for barcodes, thus enabling it to decode rotated barcodes. Error correction and predictive decoding is implemented to improve the speed and accuracy of the system. Overall system performance is benchmarked with existing commercially available software.
format	Thesis
qualification_level	Master's degree
author	Ullah Sheikh, Usman
author_facet	Ullah Sheikh, Usman
author_sort	Ullah Sheikh, Usman
title	Real-time barcode reader using active vision
title_short	Real-time barcode reader using active vision
title_full	Real-time barcode reader using active vision
title_fullStr	Real-time barcode reader using active vision
title_full_unstemmed	Real-time barcode reader using active vision
title_sort	real-time barcode reader using active vision
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2004
url	http://eprints.utm.my/id/eprint/3007/1/UsmanUllahSheikhMFKE2004.pdf
_version_	1747814435829841920

Real-time barcode reader using active vision

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