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Document Image Analysis Using Deep Multi-modular Features
Texture or repeating patterns, discriminative patches, and shapes are the salient features for various document image analysis problems. This article...
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Attribute-based document image retrieval
This paper explores the use of attributes for document image querying and retrieval. Existing document image retrieval techniques present several...
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Am I readable? Transfer learning based document image rectification
Document image rectification is a commonly explored problem in computer vision. However, in recent works, the improvements made on a distorted...
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Towards privacy preserved document image classification: a comprehensive benchmark
As data-driven AI systems become increasingly integrated into industry, concerns have recently arisen regarding potential privacy breaches and the...
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Document Layout Analysis
Document layout analysis (DLA) is a crucial step towards the development of an effective document image processing system. In the early days of...
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Document Image Binarization
Documents often get affected by noise due to various issues like casual handling occurred during storing, or image acquisition processes. These...
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Historical document image analysis using controlled data for pre-training
Using neural networks for semantic labeling has become a dominant technique for layout analysis of historical document images. However, to train or...
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A robust document image watermarking scheme using deep neural network
Watermarking is an important copyright protection technology which generally embeds the identity information into the carrier imperceptibly. Then the...
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DocXclassifier: towards a robust and interpretable deep neural network for document image classification
Model interpretability and robustness are becoming increasingly critical today for the safe and practical deployment of deep learning (DL) models in...
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Analyzing the potential of active learning for document image classification
Deep learning has been extensively researched in the field of document analysis and has shown excellent performance across a wide range of...
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A survey of historical document image datasets
This paper presents a systematic literature review of image datasets for document image analysis, focusing on historical documents, such as...
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Neural models for semantic analysis of handwritten document images
Semantic analysis of handwritten document images offers a wide range of practical application scenarios. A sequential combination of handwritten text...
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Perceptual cue-guided adaptive image downscaling for enhanced semantic segmentation on large document images
Image downscaling is an essential operation to reduce spatial complexity for various applications and is becoming increasingly important due to the...
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SemiDocSeg: harnessing semi-supervised learning for document layout analysis
Document Layout Analysis (DLA) is the process of automatically identifying and categorizing the structural components (e.g. Text, Figure, Table,...
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A Novel Dataset and Benchmark Analysis on Document Image Translation
Document image translation (DIT) deserves more attention on account of its importance in many real-world scenarios. It is a challenging task because...
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The YOLO model that still excels in document layout analysis
Document layout analysis can help people better understand and use the information in a document. However, the diversity of document layouts and...
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Automatic logo detection from document image using HOG features
Document image analysis and processing has drawn the attention of many researchers due to its real-time applications in day-to-day life. Document...
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A document image classification system fusing deep and machine learning models
Artificial Intelligence (AI) technologies are now widely employed to overcome human-induced faults in a variety of systems used in our daily lives,...
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Diffusion Models for Document Image Generation
Image generation has got wide attention in recent times; however, despite advances in image generation techniques, document image generation having...
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Adaptive dewar** of severely warped camera-captured document images based on document map generation
Automated dewar** of camera-captured handwritten documents is a challenging research problem in Computer Vision and Pattern Recognition. Most...
