DocumentCode :
1879735
Title :
Localization and Segmentation of A 2D High Capacity Color Barcode
Author :
Parikh, Devi ; Jancke, Gavin
Author_Institution :
Carnegie Mellon Univ., Pittsburgh, PA
fYear :
2008
fDate :
7-9 Jan. 2008
Firstpage :
1
Lastpage :
6
Abstract :
A 2D color barcode can hold much more information than a binary barcode. Barcodes are often intended for consumer use where using a cellphone, a consumer can take an image of a barcode on a product, and retrieve relevant information about the product. The barcode must be read using computer vision techniques. While a color barcode can hold more information, it makes this vision task in consumer scenarios unusually challenging. We present our approach to the localization and segmentation of a 2D color barcode in such challenging scenarios, along with its evaluation on a diverse collection of images of Microsoft´s recently launched high capacity color barcode (HCCB). We exploit the unique trait of barcode reading: the barcode decoder can give the vision algorithm feedback, and develop a progressive strategy to achieve both - high accuracy in diverse scenarios as well as computational efficiency.
Keywords :
bar codes; computer vision; image colour analysis; image segmentation; information retrieval; mark scanning equipment; 2D color barcode; barcode decoder; barcode image; barcode reading; barcode segmentation; binary barcode; cellphone; computer vision techniques; high capacity color barcode; information retrieval; vision algorithm feedback; Cameras; Cellular phones; Computational efficiency; Computer vision; Costs; Decoding; Feedback; Image retrieval; Image segmentation; Information retrieval;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applications of Computer Vision, 2008. WACV 2008. IEEE Workshop on
Conference_Location :
Copper Mountain, CO
ISSN :
1550-5790
Print_ISBN :
978-1-4244-1913-5
Electronic_ISBN :
1550-5790
Type :
conf
DOI :
10.1109/WACV.2008.4544033
Filename :
4544033
Link To Document :
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