Scanned Text Vectorization

Safonov, Ilia V.; Kurilin, Ilya V.; Rychagov, Michael N.; Tolstaya, Ekaterina V.

doi:10.1007/978-3-030-05342-0_9

Cited by 1 publication

(1 citation statement)

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“…The method connects the corners using simple, continuous curves that capture input regularities, given the finalised set of corners. An algorithm for generating a PDF containing vectorized text symbols and drawing images from scanned documents was developed by [20]. Segmentation of the document into text/drawing areas and backdrop, translation of symbols to sequences of lines and bezier curves, and storage of the compressed background and foreground in PDF format are all part of the multistage approach.…”

Section: Literature Surveymentioning

confidence: 99%

Evolutionary Optimization of Geometrical Image Contour Detection

2022

IJIES

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The image vectorization based on geometrical contour representation is an active research topic. It involves approximating the contour of the objects inside the image using geometrical definition or estimation. Typical approach of estimating the parameters of the geometrical model is fitting-based estimation. However, the noise that exists in the image causes degradation in the performance. In order to overcome this degradation, we propose integrating evolutionary based optimization. In this article, the design of the operators of the genetic optimization for improving the contour detection results of segments-based estimation of the contour is proposed. The operator includes both crossover and mutation. The evaluation shows that Structural Similarity Index Metrics (SSIM) measure has increased after applying it from 0.64 to 0.77 on UEC Food 100 Dataset and from 0.54 to 0.66 after applying it to UEC Food 256 Dataset.

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Section: Literature Surveymentioning

confidence: 99%

Evolutionary Optimization of Geometrical Image Contour Detection

2022

IJIES

View full text Add to dashboard Cite

show abstract

Scanned Text Vectorization

Cited by 1 publication

References 15 publications

Evolutionary Optimization of Geometrical Image Contour Detection

Evolutionary Optimization of Geometrical Image Contour Detection

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