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
doaj +1 more source
Document Image Quality Assessment: A Survey
The rapid emergence of new portable capturing technologies has significantly increased the number and diversity of document images acquired for business and personal applications.
Alireza Alaei +3 more
semanticscholar +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
doaj +1 more source
Investigating Attention Mechanism for Page Object Detection in Document Images
Page object detection in scanned document images is a complex task due to varying document layouts and diverse page objects. In the past, traditional methods such as Optical Character Recognition (OCR)-based techniques have been employed to extract ...
Shivam Naik +5 more
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
DP-LinkNet: A convolutional network for historical document image binarization
Document image binarization is an important pre-processing step in document analysis and archiving. The state-of-the-art models for document image binarization are variants of encoder-decoder architectures, such as FCN ( fully convolutional network ) and
Wei Xiong +5 more
semanticscholar +1 more source
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 +2 more sources
Cascade Network with Deformable Composite Backbone for Formula Detection in Scanned Document Images
This paper presents a novel architecture for detecting mathematical formulas in document images, which is an important step for reliable information extraction in several domains. Recently, Cascade Mask R-CNN networks have been introduced to solve object
Khurram Azeem Hashmi +4 more
doaj +1 more source

