Document Image Processing [PDF]
Journal of Imaging, 2018 n ...
Laurence Likforman-Sulem +1 more
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iDocChip: A Configurable Hardware Accelerator for an End-to-End Historical Document Image Processing [PDF]
Journal of Imaging, 2021 In recent years, there has been an increasing demand to digitize and electronically access historical records. Optical character recognition (OCR) is typically applied to scanned historical archives to transcribe them from document images into machine ...
Menbere Kina Tekleyohannes +5 more
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Learning Surrogate Models of Document Image Quality Metrics for Automated Document Image Processing [PDF]
2018 13th IAPR International Workshop on Document Analysis Systems (DAS), 2018 Computation of document image quality metrics often depends upon the availability of a ground truth image corresponding to the document. This limits the applicability of quality metrics in applications such as hyperparameter optimization of image processing algorithms that operate on-the-fly on unseen documents.
Prashant Singh +2 more
exaly +5 more sources
Basics and Implementation of Document Automation in the Image Processing Industry [PDF]
SHS Web of Conferences, 2022 With the introduction of a Component Content Management System (CCMS), companies combine the expectation of creating efficient and effective customer-specific documentation in the face of increasing product variance due to individual customer ...
Quilitzsch Dirk, Ziegler Wolfgang
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FPGA-based point processing for denoising of the show-through effect in scanned document images
Journal of King Saud University: Computer and Information Sciences, 2023 Document Image Binarization is one of the image enhancement techniques and has potential applications in the field of Document Image Analysis and Recognition (DIAR).
Habibunnisha Nazeer, Nedumaran Damodaran
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Handwritten Image Binarization Based on Background Estimation and Local Adaptive Integration [PDF]
Jisuanji kexue, 2022 In handwritten document images,there are often uneven lighting,ink stains,paper degradation,shadows and other complex conditions.In order to solve the problem that OCR effect of document image is not ideal after binarization in complex background,a ...
HE Huang-xing, CHEN Ai-guo, WANG Jiao-long
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Using Paper Texture for Choosing a Suitable Algorithm for Scanned Document Image Binarization
Journal of Imaging, 2022 The intrinsic features of documents, such as paper color, texture, aging, translucency, the kind of printing, typing or handwriting, etc., are important with regard to how to process and enhance their image. Image binarization is the process of producing
Rafael Dueire Lins +3 more
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An innovative document image binarization approach driven by the non-local p-Laplacian
EURASIP Journal on Advances in Signal Processing, 2022 Text image binarization is fairly a tedious task and a significant problem in document image analysis. This process, as a necessary pretreatment for noisy images with stains, non-uniform background, or degraded text characters, can successfully improve ...
Fatim Zahra Ait Bella +3 more
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Applied Sciences, 2022 In this paper, we propose a new convolutional neural network (CNN) architecture for improving document-image quality through decreasing the impact of distortions (i.e., blur, shadows, contrast issues, and noise) contained therein.
Kabeh Mohsenzadegan +2 more
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Analysis of Hyperspectral Data to Develop an Approach for Document Images
Sensors, 2023 Hyperspectral data analysis is being utilized as an effective and compelling tool for image processing, providing unprecedented levels of information and insights for various applications.
Zainab Zaman +2 more
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