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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Reading 1-D Barcodes with Mobile Phones Using Deformable Templates

Virtually any existing algorithm for barcode reading performs some sort of binarization of the input brightness data. A toolkit for dobust recognition and resolving on camera phones—jump starting the internet of things.

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

The final partition is shown in plot a. Chai D, Hock F. In our approach, as indicated in the figure, first original image is converted to edge abrcode. The localization algorithm has no pretense of optimality but works reasonably well in our tests, better so than other published algorithms that we also experimented with. Original Image Figure 9: See other articles in PMC that cite the published article.

The result of the constraint network can be easily translated to the barcode value with the lookup table. The result is shown on uskng screen of the phone above the captured picture, in this case Tekin and Coughlan propose an elegant Bayesian framework for barcode decoding [ 10 ]. The matching of the stripe-to-stripe combinations in the consecutive domains and the value of the probability can be considered as the rules for checking the consistency.

From those two images one Higher Response can be selected, which has higher response. From the moment that the frame is received from the camera and eeader analysis begins, our algorithm takes an average of — ms for both localization and decoding.

Reading 1-D Barcodes with Mobile Phones Using Deformable Templates

Each of the consecutive, non-overlapping segments which encode the symbols are called digits segments or simply digits.


Note that block filtering can be implemented efficiently so that only few operations per pixel are required. This shows that our algorithm is suitable for mobile applications and also proves that, in the event of failure at reading the barcode, the process can be quickly repeated.

It is composed of three functions: Barcode decoding Our decoding algorithm analyzes a single scanline extracted from the detected barcode area as described in Sec. The effect of the ripples was insignificant in our implementation. Although deformable template matching usually requires costly optimization techniques, we prove that in the case of these patterns, matching can be obtained exactly with a simple discrete search.

Other approaches assume that the center of the image falls within the barcode area [ 7 ], [ 12 ], thus greatly simplifying the problem: The quiet zone, along with the large size of the block filter, ensures that the vertical sides of this rectangle fall outside the area of the barcode by at least a few pixels. International Journal of Image and Graphics. Commercial scanners, such as those used in supermarkets, shine a stripe of pulsed light on the code and measure the intensity of its reflection; the use of active illumination makes them virtually insensitive to changes of ambient illumination.

The last digit is an error correcting check digit which can be used to detect decoding errors. IV-B describes the Symbian implementation of the algorithm. Log In Sign Up. In our implementation we assume a localization tolerance in either end point equal to twice the width of the narrowest bar. First, based on the previously detected endpoints of the scanline, we compute the spatial location of each digit segment in the barcode. In this case, the integral is proportional to the area of the polygonal cell, which can be easily computed and stored offline.

As mentioned in the real-time implementation, this does NOT suggest that the frame rate is constant at 4 fps.

Real-time Implementation To use the computational power efficiently the algorithm is slightly modified to fit in to a multi- state model.

Rather than focusing on a single deformation, we propose to integrate the likelihood over the space of deformations, having defined a prior distribution of the deformation parameters. To eliminate the zero-crossings due to the noise, a window has been selected from both sides of the zero axes as shown in figure 5.


Applications of hidden Markov models in bar code decoding. This is in contrast to other fransform applications, such as RedLaser for iPhone [ 1 ], which require the user to carefully maneuver the cellphone in close proximity of the barcode to center it and to maximize its apparent size in the viewfinder frame.

If, due to noise or blur, gransform few pixels have intermediate gray values as in Fig. Barcode Transformation Barcode Decoding The decoding method mainly consist of two parts; generation of the barcode waveform from the sequence and deciphering the barcode value from the waveform. The algorithm described in Sec. Unfortunately, binarization is very sensitive to noise and blur, in particular when the features to be detected, such as the narrow bars of a barcode, are smaller in size than a couple of pixels.

In softaare experiments, this assumption was always found to be correct. The green stars indicate o Lo Rthe original estimates for the endpoints of the scanline. Barcode reading has been studied and optimized for decades and it now represents a well established industrial standard. Seventh International Conference The horizontal line l n that passes through the center of this rectangle is chosen as the scanline for the analysis.

Then, we expand a vertical and an horizontal line from n 0and form a rectangle with sides parallel to the axes of the image and containing the intersections of these lines with the edge of the blob. Then, for each cell, one only needs to add together selected samples from the two sequences. Example of barcodes correctly decoded by our algorithm from the three data sets described usig Sec.