Results 11 to 20 of about 142,857 (263)
Rethinking Learnable Proposals for Graphical Object Detection in Scanned Document Images
In the age of deep learning, researchers have looked at domain adaptation under the pre-training and fine-tuning paradigm to leverage the gains in the natural image domain.
Sankalp Sinha +5 more
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Unsupervised Exemplar-Based Learning for Improved Document Image Classification
Many recent state-of-the-art approaches for document image classification are based on supervised feature learning that requires a large amount of labeled training data.
Sherif Abuelwafa +2 more
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A Novel Adaptive Deskewing Algorithm for Document Images
Document scanning often suffers from skewing, which may seriously influence the efficiency of Optical Character Recognition (OCR). Therefore, it is necessary to correct the skewed document before document image information analysis.
Wuzhida Bao +6 more
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PHTI: Pashto Handwritten Text Imagebase for Deep Learning Applications
Document Image Analysis (DIA) is one of the research areas of Artificial Intelligence (AI) that converts document images into machine-readable codes. In DIA systems, Optical Character Recognition (OCR) plays a key role in digitizing document images.
Ibrar Hussain +5 more
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Handwritten Document Analysis for Automatic Writer Recognition
In this paper, we show that both the writer identification and the writer verification tasks can be carried out using local features such as graphemes extracted from the segmentation of cursive handwriting.
Ameur Bensefia +2 more
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The textual data of a document is supplemented by the graphical information in it. To make communication easier, they contain tables, charts and images. However, it excludes a section of our population - the visually impaired.
K. C. Shahira, A. Lijiya
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Image of fatherhood in printed media: document analysis
Aim: To identify the media records of the press communication representing paternity and to comment how they represent the father approaching his commemorative day. Method: Exploratory study, carried out through documental analysis, by means of “O GLOBO”
Maria Beatriz de Assis Veiga +5 more
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Toward Semi-Supervised Graphical Object Detection in Document Images
The graphical page object detection classifies and localizes objects such as Tables and Figures in a document. As deep learning techniques for object detection become increasingly successful, many supervised deep neural network-based methods have been ...
Goutham Kallempudi +5 more
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Digital libraries and document image analysis [PDF]
The rapid growth of digital libraries (DLs) worldwide poses many new challenges for document image analysis (DIA) research and development. DLs promise to offer more people access to larger document collections, and at far greater speed, than physical libraries can.
openaire +1 more source
A new Approach for Detection and ExtractionTables in Scanned Document Image using Improved Hough Transform [PDF]
In this paper, an improvement approach of Hough transform for tables detection and extraction from scanned document images is achieved as one of the main stages in document recognition to recognize between original and faked documents.
Hasanen S. Abdullah, Ammar H. Jasim
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