Camera Readable 2D Bar Codes Design and Decoding for Mobile Phones

Wang, Hao; Zou, Yanming

doi:10.1109/icip.2006.312495

Cited by 12 publications

(7 citation statements)

References 8 publications

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“…Muniz et al [1999] presented a robust method for decoding linear barcodes using the Hough transform. Wang and Zou [2006] used the Hough transform to locate the four corners of the 2D bar code region and used the second derivative image in combination with bidirectional centripetal runlength to decode the bar code. Parikh and Jancke [2008] also used the Hough transform.…”

Section: Previous Workmentioning

confidence: 99%

Fast detection and recognition of QR codes in high-resolution images

Szentandrási

Herout

Dubská

2012

Proceedings of the 28th Spring Conference on Computer Graphics

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This paper deals with detection and recognition of matrix codes, such as the QR codes, in high-resolution images of real-world scenes. The goal is to provide a detector capable of operation in real time even on high-resolution images (several megapixels). We present an efficient algorithm for detection of possible occurrences of the codes. This algorithm is characterized by a very low false negative rate and a reasonable false alarm rate. The results of our algorithm are to be followed by an accurate detection/recognition algorithm. We propose to use a recent matrix code detection and recognition algorithm based on Hough transform, because it can reuse some information computed by our new pre-detection algorithm and thus a further reduce of computational demands can be achieved. Since there are no publicly available annotated datasets for evaluation of this kind of algorithm, we collected a number of images and annotated them; these images will be made publicly available to allow for a proper comparison. Our algorithm was evaluated on this dataset and the results are reported in the paper.

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Section: Previous Workmentioning

confidence: 99%

Fast detection and recognition of QR codes in high-resolution images

Szentandrási

Herout

Dubská

2012

Proceedings of the 28th Spring Conference on Computer Graphics

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“…Thanks to the regular structure of the QR code, the Hough transform for QR code detection and localization can be used [15]. The Hough transform has been used to detect the four corners of the 2D bar code region in [16]. In [17], the authors combined the Hough transform with adaptive threshold and texture analysis to locate 2D color bar codes correctly.…”

Section: Qr Code Descriptionmentioning

confidence: 98%

Centrality bias measure for high density QR code module recognition

Tkachenko

Puech

Strauss

et al. 2016

Signal Processing: Image Communication

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“…Finally, we note that there is growing interest [11, 1] in the use of 2D barcodes, which are better suited to acquisition by camera than 1D barcodes, and encode information more densely. While 2D barcodes will one day supplant their 1D predecessors, at present almost all packaged goods are still labeled with 1D barcodes, which is why this paper focuses on them.…”

Section: Related Workmentioning

confidence: 99%

An algorithm enabling blind users to find and read barcodes

Tekin

Coughlan

2009

2009 Workshop on Applications of Computer Vision (WACV)

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Most camera-based systems for finding and reading barcodes are designed to be used by sighted users (e.g. the Red Laser iPhone app), and assume the user carefully centers the barcode in the image before the barcode is read. Blind individuals could benefit greatly from such systems to identify packaged goods (such as canned goods in a supermarket), but unfortunately in their current form these systems are completely inaccessible because of their reliance on visual feedback from the user. To remedy this problem, we propose a computer vision algorithm that processes several frames of video per second to detect barcodes from a distance of several inches; the algorithm issues directional information with audio feedback (e.g. “left,” “right”) and thereby guides a blind user holding a webcam or other portable camera to locate and home in on a barcode. Once the barcode is detected at sufficiently close range, a barcode reading algorithm previously developed by the authors scans and reads aloud the barcode and the corresponding product information. We demonstrate encouraging experimental results of our proposed system implemented on a desktop computer with a webcam held by a blindfolded user; ultimately the system will be ported to a camera phone for use by visually impaired users.

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Camera Readable 2D Bar Codes Design and Decoding for Mobile Phones

Cited by 12 publications

References 8 publications

Fast detection and recognition of QR codes in high-resolution images

Fast detection and recognition of QR codes in high-resolution images

Centrality bias measure for high density QR code module recognition

An algorithm enabling blind users to find and read barcodes

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