International Journal on Document Analysis and Recognition

Papers
(The TQCC of International Journal on Document Analysis and Recognition is 6. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-05-01 to 2024-05-01.)
ArticleCitations
Translating math formula images to LaTeX sequences using deep neural networks with sequence-level training34
Optical character recognition with neural networks and post-correction with finite state methods28
Persian handwritten digit, character and word recognition using deep learning18
Robust text line detection in historical documents: learning and evaluation methods17
Arrow R-CNN for handwritten diagram recognition16
Data Augmentation using Geometric, Frequency, and Beta Modeling approaches for Improving Multi-lingual Online Handwriting Recognition15
Beyond document object detection: instance-level segmentation of complex layouts15
A survey of historical document image datasets13
Automatic room information retrieval and classification from floor plan using linear regression model11
Segmentation for document layout analysis: not dead yet11
Text recognition for Vietnamese identity card based on deep features network11
YOLO-table: disclosure document table detection with involution9
Boosting modern and historical handwritten text recognition with deformable convolutions9
Self-supervised deep metric learning for ancient papyrus fragments retrieval8
CNN-based segmentation of speech balloons and narrative text boxes from comic book page images8
A two-step framework for text line segmentation in historical Arabic and Latin document images8
DetectGAN: GAN-based text detector for camera-captured document images8
Feature learning and encoding for multi-script writer identification8
Revealing a history: palimpsest text separation with generative networks7
Asking questions on handwritten document collections7
An end-to-end network for irregular printed Mongolian recognition7
Benchmarking online sequence-to-sequence and character-based handwriting recognition from IMU-enhanced pens6
Combination of deep neural networks and logical rules for record segmentation in historical handwritten registers using few examples6
TableSegNet: a fully convolutional network for table detection and segmentation in document images6
EAML: ensemble self-attention-based mutual learning network for document image classification6
Conv-transformer architecture for unconstrained off-line Urdu handwriting recognition6
Knowledge-driven description synthesis for floor plan interpretation6
Segmentation of text lines using multi-scale CNN from warped printed and handwritten document images6
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