Color Drop-Out Binarization Method for Document Images with Color Shift

Seki, Masanori; Asano, Eisuke; Yasue, Tsukasa; Nagayoshi, Hiroto; Suzuki, Hiroshi; Nagasaki, Takeshi

doi:10.1109/icdar.2013.32

Cited by 3 publications

(1 citation statement)

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“…Compared to existing binarization approaches (local or global), offers a better reading of characters by the OCR. Seki et al (2013) [6] have proposed a novel method using "color drop-out" for document images with "color shift" is proposed. Color shift phenomena occasionally arise in document images captured by a camera device or stand type scanner.…”

Section: Sauvola Methodsmentioning

confidence: 99%

Document Image Binarization Techniques- A Review

KaurGill¹

2014

IJCA

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Image binarization is the procedure of parting of pixel values into dual collections, black as foreground and white as background. Thresholding has found to be a well-known technique used for binarization of document images. Thresholding is further divide into the global and local thresholding technique. In document with uniform contrast delivery of background and foreground, global thresholding is has found to be best technique. In degraded documents, where extensive background noise or difference in contrast and brightness exists i.e. there exists many pixels that cannot be effortlessly categorized as foreground or background. In such cases, local thresholding has significant over available techniques. The main objective of this paper is to evaluate the different image binarization techniques to find the gaps in existing techniques.

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Section: Sauvola Methodsmentioning

confidence: 99%

Document Image Binarization Techniques- A Review

KaurGill¹

2014

IJCA

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Accurate, swift and noiseless image binarization

Al-Khawand

Kadry

Bozzo

et al. 2015

International Conference on Computer Vision and Image Analysis Applications

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In this paper, we will present an accurate, swift and noiseless image binarization technique that was tested on real life back side container images. Our approach consists of converting a colored image to a grayscaled one, then to construct the histogram which will be divided into group of colors and after that, the foreground - that can be darker or lighter than the background - will be automatically identified and finally, the foreground boundaries will be assiduously enhanced before creating the binarized image. The average processing time of our proposed method is around 0.8 milliseconds which makes it highly suitable for real life multi-user applications

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Degraded Document Enhancement through Binarization Techniques

Bonny

Uddin

2019

2019 International Conference on Sustainable Technologies for Industry 4.0 (STI)

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Color Drop-Out Binarization Method for Document Images with Color Shift

Cited by 3 publications

References 1 publication

Document Image Binarization Techniques- A Review

Document Image Binarization Techniques- A Review

Accurate, swift and noiseless image binarization

Degraded Document Enhancement through Binarization Techniques

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