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Speech and text-image processing in documents [PDF]
Proceedings of the workshop on Human Language Technology - HLT '93, 1993 Two themes have evolved in speech and text image processing work at Xerox PARC that expand and redefine the role of recognition technology in document-oriented applications. One is the development of systems that provide functionality similar to that of text processors but operate directly on audio and scanned image data. A second, related theme is the
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Document Skew Detection and Correction Algorithm using Wavelet and Radon Transforms [PDF]
مجلة جامعة الانبار للعلوم الصرفة, 2009 :As part of research into document image processing, an algorithm has been developed to detect and correct the degree of skew in a scanned image. The principal components of the algorithm are the wavelet and radon transforms.
F.A. Al-adhadh +2 more
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Journal of Imaging, 2018 Isolating non-text components from the text components present in handwritten document images is an important but less explored research area. Addressing this issue, in this paper, we have presented an empirical study on the applicability of various ...
Sourav Ghosh +4 more
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Blur2Sharp: A GAN-Based Model for Document Image Deblurring
International Journal of Computational Intelligence Systems, 2021 The advances in mobile technology and portable cameras have facilitated enormously the acquisition of text images. However, the blur caused by camera shake or out-of-focus problems may affect the quality of acquired images and their use as input for ...
Hala Neji +4 more
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Office Documents Classification under Limited Sample. A Case of Table Detection Inside Court Files
Journal of Information and Organizational Sciences, 2022 Deep convolutional neural networks (CNNs) became an industry standard in image processing. However, in order to keep their high efficiency, a large annotated sample is required in the case of supervised learning.
Paweł Baranowski, Adrian Stepniak
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Sensors, 2021 This paper’s core objective is to develop and validate a new neurocomputing model to classify document images in particularly demanding hard conditions such as image distortions, image size variance and scale, a huge number of classes, etc.
Kabeh Mohsenzadegan +2 more
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Multi-view and Multi-scale Fusion Attention Network for Document Image Forgery Localization [PDF]
Jisuanji kexueWith the improvement and application of various digital platforms,document images have been widely spread on the Internet.At the same time,the development of image processing technology has increased the risk of document image tampering,making it crucial
MENG Sijiang, WANG Hongxia, ZENG Qiang, ZHOU Yang
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Document Image Processing for Paper Side Communications [PDF]
IEEE Transactions on Multimedia, 2008 This paper proposes the use of higher order statistical moments in document image processing to improve the performance of systems which transmit side information through the print and scan channel. Examples of such systems are multilevel 2-D bar codes and certification via text luminance modulation.
Paulo Vinicius Koerich Borges +2 more
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Projection–Based Text Line Segmentation with a Variable Threshold
International Journal of Applied Mathematics and Computer Science, 2017 Document image segmentation into text lines is one of the stages in unconstrained handwritten document recognition. This paper presents a new algorithm for text line separation in handwriting.
Ptak Roman +2 more
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Bi‐level thresholding for binarisation of handwritten and printed documents
IET Computer Vision, 2015 Document image binarisation algorithms have been available in the literature for decades. However, most of the state‐of‐the‐art methods address specific image degradation or characteristics.
Ranjani J. Jennifer
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