8 citations · 13 across the 3 of their papers we have counts for
5 papers · 2 filters
Transfer Learning for OCRopus Model Training on Early Printed Books
Christian Reul, Christoph Wick, Uwe Springmann +1
A method is presented that significantly reduces the character error rates for OCR text obtained from OCRopus models trained on early printed books when only small amounts of diplo…
Leaf Identification Using a Deep Convolutional Neural Network
Christoph Wick, Frank Puppe
Convolutional neural networks (CNNs) have become popular especially in computer vision in the last few years because they achieved outstanding performance on different tasks, such…
Improving OCR Accuracy on Early Printed Books by utilizing Cross Fold Training and Voting
Christian Reul, Uwe Springmann, Christoph Wick +1
In this paper we introduce a method that significantly reduces the character error rates for OCR text obtained from OCRopus models trained on early printed books. The method uses a…
Fully Convolutional Neural Networks for Page Segmentation of Historical Document Images
Christoph Wick, Frank Puppe
We propose a high-performance fully convolutional neural network (FCN) for historical document segmentation that is designed to process a single page in one step. The advantage of…
LAREX - A semi-automatic open-source Tool for Layout Analysis and Region Extraction on Early Printed Books
Christian Reul, Uwe Springmann, Frank Puppe
A semi-automatic open-source tool for layout analysis on early printed books is presented. LAREX uses a rule based connected components approach which is very fast, easily comprehe…