Processing and Recognition of Characters Image in Complex Environment

Yuan, JiaJing; Guo, M.; Huang, BinYan; Hu, RuiQi; Dian, Songyi

doi:10.1109/iditr54676.2022.9796487

Cited by 2 publications

(1 citation statement)

References 8 publications

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“…Filtering techniques can be employed to heighten the quality of digital images, thus diminishing the amount of image noise [7][8][9]. Various strategies like blurring, smoothing, and sharpening are utilized in these approaches to decrease the quantity of unnecessary noise in the picture.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Hough Transform for Rectifying Industrial Nameplate Images: A Novel Strategy for Improved Text Detection and Precision in Difficult Environments

Li¹,

Ma²,

Bao³

et al. 2023

Preprint

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Industrial nameplates serve as a means of conveying critical information and parameters. In this work, we propose a novel approach for rectifying industrial nameplate pictures utilizing a probabilistic Hough transform. Our method effectively corrects for distortions and clipping, and features a collection of challenging nameplate pictures for analysis. To determine the corners of the nameplate, we employ a progressive probability Hough transform, which not only enhances detection accuracy but also possesses the ability to handle complex industrial scenarios. The results of our approach are clear and readable nameplate text, as demonstrated through experiments that show improved accuracy in model identification compared to other methods.

show abstract

Section: Introductionmentioning

confidence: 99%

Probabilistic Hough Transform for Rectifying Industrial Nameplate Images: A Novel Strategy for Improved Text Detection and Precision in Difficult Environments

Li¹,

Ma²,

Bao³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

Probabilistic Hough Transform for Rectifying Industrial Nameplate Images: A Novel Strategy for Improved Text Detection and Precision in Difficult Environments

Bao

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

Industrial nameplates serve as a means of conveying critical information and parameters. In this work, we propose a novel approach for rectifying industrial nameplate pictures utilizing a Probabilistic Hough Transform. Our method effectively corrects for distortions and clipping, and features a collection of challenging nameplate pictures for analysis. To determine the corners of the nameplate, we employ a progressive Probability Hough Transform, which not only enhances detection accuracy but also possesses the ability to handle complex industrial scenarios. The results of our approach are clear and readable nameplate text, as demonstrated through experiments that show improved accuracy in model identification compared to other methods.

show abstract

Processing and Recognition of Characters Image in Complex Environment

Cited by 2 publications

References 8 publications

Probabilistic Hough Transform for Rectifying Industrial Nameplate Images: A Novel Strategy for Improved Text Detection and Precision in Difficult Environments

Probabilistic Hough Transform for Rectifying Industrial Nameplate Images: A Novel Strategy for Improved Text Detection and Precision in Difficult Environments

Probabilistic Hough Transform for Rectifying Industrial Nameplate Images: A Novel Strategy for Improved Text Detection and Precision in Difficult Environments

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