Character detection and recognition system of beer bottles

Shen, Bangxing

doi:10.3901/cjme.2005.03.467

Cited by 3 publications

(2 citation statements)

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“…To date, only a few literatures [1][2][3][4] appear on studying raised or indented characters. Moreover, most of the current study focuses on the feature extraction and recognition stage.…”

Section: Introductionmentioning

confidence: 99%

Contrast enhancement for images of raised characters on region of interest

Zhang

et al. 2010

2010 8th World Congress on Intelligent Control and Automation

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Raised or indented characters are widely used for recording the product information in the industrial field. However, images of such characters are of poor contrast because the characters have the same color and material as the background. It is this problem that makes recognition of such characters is difficult than that of conventional optical characters. To address this issue, the aim of this work is to investigate a contrast enhancement method applicable for raised or indented characters by carrying out an independent study on the illumination factor. Firstly, the illumination model of raised character is analyzed. Then, four different algorithms are introduced and the experiment was carried out with images of the raised characters pressed on metal label. Experiment results prove that homomorphic filtering is the most suitable contrast enhancement algorithm for raised or indented characters.

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“…To date, only a few literatures [1][2][3][4] appear on studying raised or indented characters. Moreover, most of the current study focuses on the feature extraction and recognition stage.…”

Section: Introductionmentioning

confidence: 99%

Contrast enhancement for images of raised characters on region of interest

Zhang

et al. 2010

2010 8th World Congress on Intelligent Control and Automation

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“…So, recognition of such characters is difficult than that of conventional optical characters.So far only a few literatures appear on studying protuberant characters and some feature extracting method are proposed. Shen[1] extracted feature of characters from binary image of beer bottle images.…”

mentioning

confidence: 99%

Stroke detection and reconstruction of characters pressed on metal label

2008

2008 7th World Congress on Intelligent Control and Automation

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In order to detect features of protuberant characters, a novel stroke detection method based on Gabor filters is proposed. First, the gray images of protuberant characters were preprocessed using morphological algorithm. Next, a set of Gabor filters is used to break down an image of protuberant characters into four directional images, which contain the stroke information of four directions. Then, a reconstruction experiment is carried out with the Gabor characters. The results show that the Gabor representation has strong reconstruction power. Finally, A BP neural network is introduced to classify the Gabor features and the experiment results tell that the Gabor features have good separate capability. All of the above proves that the proposed method can be reliably used for feature extraction of pressed characters in low-quality images.

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A hybrid method for laser etched metal label recognition

Song

2007

2007 International Conference on Wavelet Analysis and Pattern Recognition

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Character detection and recognition system of beer bottles

Cited by 3 publications

References 0 publications

Contrast enhancement for images of raised characters on region of interest

Contrast enhancement for images of raised characters on region of interest

Stroke detection and reconstruction of characters pressed on metal label

A hybrid method for laser etched metal label recognition

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