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An enhancement of barcode localization algorithm applied in camera-based barcode reader /

By: Yasmin Barretto and Christian Lebantino

Language: English Manila PLM, 2017Description: Undergraduate Thesis: (BSCS major in Computer Science) - Pamantasan ng Lungsod ng Maynila, 2017Content type: text Media type: unmediated Carrier type: volumeGenre/Form: academic writingDDC classification: . LOC classification: QA76.9 B37 2017

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ABSTRACT: Barcode Localization is an extremely important rask in Barcode Reading system, which depends highly on image conditions and image processing method it uses. Barcode Localization algorithm uses adaptive thresholding for image smoothing and canny edge detection to locate the lines to be binarized. However, the latter methods can’t be applied in some barcode images like barcodes with wrong color combination (light to light or dark to dark) and barcodes that violate the quiet zone. In this study, we present enhanced method using different algorithm to solve the said limitations of the existing algorithm. We used Luminosity method because it produces more distinctive result and we used line detection algorithm to isolate the texts in quiet zones of the barcode with the actual barcode lines. The said methods produce more efficient output than the existing algorithm.

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Item type	Current location	Home library	Collection	Call number	Status	Date due	Barcode	Item holds
Thesis/Dissertation	PLM	PLM Archives	Filipiniana-Thesis	QA76.9 B37 2017 (Browse shelf)	Available		FT6058

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