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A Robust Software Barcode Reader Using the Hough Transform . In this paper we present a method based on the Hough transform which. Published in: · Proceeding. ICIIS ’99 Proceedings of the International Conference on Information Intelligence and Systems. Page March 31 – April A Robust Software Barcode Reader Using the Hough Transform (Englisch). Muniz, R. / Junco, L. / Otero, A. / Institute of Electrical and Electronics Engineers.

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Early-commitment approaches, whether based on binarization or edge detection, are efficient from a computational standpoint, but rely heavily on the good quality of the teh image. Imposing spatial coherence Our model makes the simplifying initial assumption that the digit segments are equally spaced see Eq.

Reading 1-D Barcodes with Mobile Phones Using Deformable Templates

Fundamentals of bar code information theory. We are currently investigating the use of our algorithm integrated in a hardware based platform to achieve higher performance.

A final procedure for global spatial coherence helps reducing the risk of errors at the individual digit level. UPC-A is a technology to encode numbers with 12 decimal digits symbols as an alternating sequence of black bars and white bars spaces with different widths. These points are extracted by thresholding the transformed image taking a suitable threshold.

Locating and decoding EAN barcodes from images captured by digital cameras. The introduction of the smoothing effect initially is for further narrowing of the noise.

On the other hand, reading barcodes with cameras presents new challenges. Now all possible candidates for lines in barcode region are converted to points having corresponding theta and a rho.

In the recent past several techniques and algorithms have been proposed for vision-based barcode reading.

Reading 1-D Barcodes with Mobile Phones Using Deformable Templates

This will reduce processor utilization. Decoding can be performed by simply finding the rransform of digits that best explains one or more binarized scanlines. Computing this integral may seem like a daunting task, especially if it needs to be performed on an embedded system such as a cellphone. This method showed an improvement of over a factor of three, of the frame rate.

Therefore, we only store area and centroid location of each polygon. In addition, we propose an optimization procedure to barxode spatial coherence of the individual digits found by deformable template matching.

A system that binarizes the intensity would be hard-pressed to detect the correct pattern. This material is based upon work supported in part by the National Science Foundation under Grant No. The localization algorithm is used to provide a single scanline segment together with its endpoints as the input to transfkrm reader.

These expressions derive from the fact that the overall length of the barcode is ideally equal to 95 times the base width, that each digit occupies a segment equal to 7 times the base width, and that the first 3 tranwform are guard bars. Chai D, Hock F.

A robust software barcode reader using the Hough transform Information Intelligence and Systems, From that image, the blob which corresponds to barcode area is selected using following formula Dilation and Erosion [1]. We propose a simple and fast algorithm for localization that assumes that the bars are approximately vertical.

Table 1 shows the possible stripe to stripe combinations with the normalized distances. The domains of the constraint network contain the stripe-to-stripe combinations. IV-B describes the Symbian implementation of the algorithm. Our derivation exploits the fact that D IM ow k is piecewise constant in the ow space.

Barcodes that are 4 cm wide can be decoded from up to 45 cm.

A sample of intensity profile in a scanline blue line. Edge Image Figure reafer As described in the Appendixthese digits are encoded independently of each other and occupy contiguous, non-overlapping intervals on the scanline.

Using Bayes rule, this is equivalent to. One reason resides in the early-commitment strategy that virtually all existing algorithms adopt: International Conference of Image Processing; Given an image containing a barcode, two distinct operations are needed for accessing the information contained in the barcode: From the moment that the frame is received from the camera and the analysis begins, our algorithm takes an average of — ms for both localization and decoding.

The amount and the way that they grow or shrink depend upon the Dilation choice of the structuring element.

Remote bar-code localization barrcode mathematical morphology Image Processing and Its Applications. Note how blur and low resolution affect the intensity profile. Author manuscript; available in PMC Jun Figure 6 illustrates the structure of the constraint network. The peak detection method is far more superior to edge detection methods as it has a higher degree of immunity to noise.