Remote bar-code localisation using mathematical morphology

Arnould, S.; Awcock, G. J.; Thomas, R.

doi:10.1049/cp:19990402

Cited by 17 publications

(9 citation statements)

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“…To crop barcode from image we must find two points corresponding to the top-left and bottom-right corner of the barcode area. There exist various approaches for 1-D or 2-D bar code localization using analysis in the spatial domain [13][14][15][16][17], Gabor filtering [18] and analysis in the frequency domain [19][20]. We used difference of gradient method [23] for barcode segmentation.…”

Section: Barcode Segmentationmentioning

confidence: 99%

Wavelet Based Intentional Blurring Variance Scheme for Blur Detection in Barcode Images

Tiwari¹,

Shukla²,

Biradar³

et al. 2014

IJIGSP

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Abstract-Blur is an undesirable phenomenon which appears as one of the most frequent causes of image degradation. Automatic blur detection is extremely enviable to restore barcode image or simply utilize them. That is to assess whether a given image is blurred or not. To detect blur, many algorithms have been proposed. These algorithms are different in their performance, time complexity, precision, and robustness in noisy environments. In this paper, we present an efficient method blur detection in barcode images, with no reference perceptual blur metric using wavelets.

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Section: Barcode Segmentationmentioning

confidence: 99%

Wavelet Based Intentional Blurring Variance Scheme for Blur Detection in Barcode Images

Tiwari¹,

Shukla²,

Biradar³

et al. 2014

IJIGSP

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“…To crop barcode from image we must find two points corresponding to the top-left and bottom-right corner of the barcode area. In literature, a variety of approaches available for localization of 1-D or 2-D bar code by spatial domain investigation [25][26][27][28][29], with Gabor filter [30] and frequency domain examination [31][32]. A difference of gradient method is used for barcode segmentation.…”

Section: Barcode Segmentationmentioning

confidence: 99%

Texture Features based Blur Classification in Barcode Images

Tiwari¹,

Shukla²,

Biradar³

et al. 2013

IJIEEB

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Abstract-Blur is an undesirable phenomenon which appears as image degradation. Blur classification is extremely desirable before application of any blur parameters estimation approach in case of blind restoration of barcode image. A novel approach to classify blur in motion, defocus, and co-existence of both blur categories is presented in this paper. The key idea involves statistical features extraction of blur pattern in frequency domain and designing of blur classification system with feed forward neural network.

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“…Moreover, extra steps need to be performed to get local information if a barcode is a small part of the image. Other algorithms use morphological filters [8] or self-study networks [9] to locate barcodes. However, they are capable of locating barcode regions only under certain conditions and are typically very time-consuming.…”

Section: Related Workmentioning

confidence: 99%

A simple and efficient approach to barcode localization

Kutiyanawala

Tian

2009

2009 7th International Conference on Information, Communications and Signal Processing (ICICS)

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Abstract-In this paper, we propose a simple and efficient approach to localizing the barcode regions in an image. We first apply the multichannel Gabor filtering technique to extract eight directional texture features. We then apply a randomized hierarchical search strategy to quickly find a sufficient number of pairs of line segments, which have high frequency and high similarity measures. We finally employ the histogram analysis technique on the start and end points of each qualified pair of line segments to localize the barcode regions. Our extensive experimental results show that the proposed scheme outperforms the two peer systems and can successfully localize the barcode regions in an image with a precision of 96% and a recall of 86%. In addition, the proposed system can be easily ported to a cell phone to improve the ShopTalk system to aid the blind to successfully retrieve common grocery products.Index Terms-Barcode localization, multichannel Gabor filters, longest common subsequence, randomized hierarchical search strategy

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Remote bar-code localisation using mathematical morphology

Cited by 17 publications

References 0 publications

Wavelet Based Intentional Blurring Variance Scheme for Blur Detection in Barcode Images

Wavelet Based Intentional Blurring Variance Scheme for Blur Detection in Barcode Images

Texture Features based Blur Classification in Barcode Images

A simple and efficient approach to barcode localization

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