Localization and Segmentation of A 2D High Capacity Color Barcode

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 t...

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Bibliographic Details
Main Authors: Parikh, D., Jancke, G.
Format: Conference Proceeding
Language:eng ; jpn
Subjects:
Cameras
Cellular phones
Computational efficiency
Computer vision
Costs
Decoding
Feedback
Image retrieval
Image segmentation
Information retrieval
Online Access:Request full text
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Summary: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.
ISSN:1550-5790
2642-9381
DOI:10.1109/WACV.2008.4544033