Multi-Task Handwritten Document Layout Analysis
Document Layout Analysis is a fundamental step in Handwritten Text Processing systems, from the extraction of the text lines to the type of zone it belongs to. We present a system based on artificial neural networks which is able to determine not only the baselines of text lines present in the document, but also performs geometric and logic layout analysis of the document. Experiments in three different datasets demonstrate the potential of the method and show competitive results with respect to state-of-the-art methods.
Code (1)
Tasks
Document Layout AnalysisSimilar Papers 제목 키워드 기반
Evaluation of a Region Proposal Architecture for Multi-task Document Layout Analysis
Automatically recognizing the layout of handwritten documents is an important step towards useful extraction of information from those documents. The most common application is to feed downstream applications such as aut…
Document Layout AnalysisKeyword SpottingRegion ProposalSegmentationHAND: Hierarchical Attention Network for Multi-Scale Handwritten Document Recognition and Layout Analysis
Handwritten document recognition (HDR) is one of the most challenging tasks in the field of computer vision, due to the various writing styles and complex layouts inherent in handwritten texts. Traditionally, this proble…
Computational EfficiencyHandwritten Document RecognitionHandwritten Text RecognitionRecognizing Challenging Handwritten Annotations with Fully Convolutional Networks
This paper introduces a very challenging dataset of historic German documents and evaluates Fully Convolutional Neural Network (FCNN) based methods to locate handwritten annotations of any kind in these documents. The ha…
Data AugmentationSemantic SegmentationDANIEL: A fast Document Attention Network for Information Extraction and Labelling of handwritten documents
Information extraction from handwritten documents involves traditionally three distinct steps: Document Layout Analysis, Handwritten Text Recognition, and Named Entity Recognition. Recent approaches have attempted to int…
Document Layout Analysisdocument understandingHandwriting RecognitionHandwritten Text Recognition+5ICDAR 2025 Competition on FEw-Shot Text line segmentation of ancient handwritten documents (FEST)
Text line segmentation is a critical step in handwritten document image analysis. Segmenting text lines in historical handwritten documents, however, presents unique challenges due to irregular handwriting, faded ink, an…
Few-Shot Learning