OCR-D wrapper for page-xml-draw
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Updated
May 1, 2021 - Python
OCR-D wrapper for page-xml-draw
BA-thesis in history.
HTR ground truth of the Chi-Know-Po project (Collex Persée)
This repository presents the code of the paper titled "Scribble Based Interactive Page Layout Segmentation Using Gabor Filter" published in ICFHR2016.
A python package to structure files using visual and style informations
Curating a dataset of British patents
A Python + C implementation for image-based PDF page layout analysis and content extraction.
An Open Dataset for the Recognition and Analysis of Scripts in Arabic Maghrebi (ICDAR 2021)
Nordrassil is a keyboard layout that provides an elegant and balanced typing experience by its use of a thumb-alpha, emphasis on middle fingers, and de-prioritisation of pinkies.
YOLO models trained by DocLayNet - power your Document Intelligent by Layout Analysis
PdfDet aims to simplify PDF layout detect tasks for users.
A web application for PDF content and table extraction, featuring image-based visual layout analysis, indexed document search, batch processing and extraction result annotation.
A powerful CLI tool for visualization and encoding of PAGE-XML files
A more complete example of programming with PDFMiner, which continues where the default documentation stops
OCR-D compliant toolset for optical layout recognition on historical german-language documents published in Brazil
利用java-yolov8实现版面检测(Chinese layout detection),java-yolov8 is used to detect the layout of Chinese document images
This library builds a graph-representation of the content of PDFs. The graph is then clustered, resulting page segments are classified and returned. Tables are retrieved formatted as a CSV.
Trained Detectron2 object detection models for document layout analysis based on PubLayNet dataset
Proof of concept of training a simple Region Classifier using PdfPig and ML.NET (LightGBM). The objective is to classify each text block in a pdf document page as either title, text, list, table and image.
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