ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Document imaging security and forensics ecosystem considerations
Proceedings of the 10th ACM symposium on Document engineering
Securing interactive sessions using mobile device through visual channel and visual inspection
Proceedings of the 26th Annual Computer Security Applications Conference
A novel coding method for multiple system barcode based on QR code
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part II
COBRA: color barcode streaming for smartphone systems
Proceedings of the 10th international conference on Mobile systems, applications, and services
High information rate and efficient color barcode decoding
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
Color-Constant information embedding
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part II
Fast detection and recognition of QR codes in high-resolution images
Proceedings of the 28th Spring Conference on Computer Graphics
A two-stage quality measure for mobile phone captured 2D barcode images
Pattern Recognition
Robust real-time detection of multi-color markers on a cell phone
Journal of Real-Time Image Processing
PiCode: 2D barcode with embedded picture and ViCode: 3D barcode with embedded video
Proceedings of the 19th annual international conference on Mobile computing & networking
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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.