## 6 Experiments
### Layout Recognition  
For the evaluation, experiments were conducted on the five datasets described in Section 3.1 with the goal of detecting all text elements with their types as described in Section 3.2. We used both a standard configuration, which is sufficient for a simple layout, and a book-specific configuration, where we could enable or disable the recognition of certain features. Such configurations are different from book-specific training, where the annotated GT for a new book is necessary. Instead, the manual interventions concerned only Boolean values. Currently, the settings that can be adjusted by the user are:  
* Specifying if one or two main text columns are in the given print (default = heuristic determination of the number of columns);
* Specifying if marginalia are absent in the print;
* Specifying if dropped capitals are absent in the print;
* Specifying if headlines are contained in the page header. We repeated the features of our five datasets and state if the configurations were performed and were evaluated:  
**CamStd:**  
Single-column layout, no marginalia, single header and footer element per page, few dropped capitals, no images. **CamMarg:**  
Single-column layout, marginalia on left and right side, composed header and footer element per page, few dropped capitals and images. \begin{table}
\begin{tabular}{l c c c c c c c} \hline \hline  & \multicolumn{3}{c}{**Text Segmentation**} & \multicolumn{3}{c}{**Text Line Instance Segmentation**} \\  & \multicolumn{1}{c}{**Precision**} & \multicolumn{1}{c}{**Recall**} & \multicolumn{1}{c}{**F1**} & \multicolumn{1}{c}{**GT Lines**} & \multicolumn{1}{c}{**Precision**} & \multicolumn{1}{c}{**Recall**} & \multicolumn{1}{c}{**F1**} \\ \hline CamStd & 99.5\% & 99.5\% & 99.5\% & 2437 & 96.8\% & 98.2\% & 97.5\% \\ CamMarg & 100.0\% & 99.3\% & 99.6\% & 6780 & 93.0\% & 93.6\% & 93.3\% \\ CamManual & 99.7\% & 99.4\% & 99.6\% & 5106 & 93.4\% & 91.9\% & 92.6\% \\ Gw5051 & 99.7\% & 99.0\% & 99.4\% & 7269 & 78.5\% & 67.1\% & 72.3\% \\ Gw5056 & 99.5\% & 99.1\% & 99.3\% & 4769 & 88.0\% & 84.5\% & 86.2\% \\ \hline Macro & 99.7\% & 99.3\% & 99.5\% & & 89.9\% & 87.0\% & 88.4\% \\ Average & & & & & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Evaluation of the pixel-level text/non-text segmentation and line instance segmentation of the Kraken engine on our evaluation datasets CamStd, CamMarg, CamManual, Gw5051, and Gw5056. \begin{table}
\begin{tabular}{l c c c c c c c} \hline \hline  & \multicolumn{3}{c}{**Text Segmentation**} & \multicolumn{3}{c}{**Text Line Instance Segmentation**} \\  & \multicolumn{1}{c}{**Precision**} & \multicolumn{1}{c}{**Recall**} & \multicolumn{1}{c}{**F1**} & \multicolumn{1}{c}{**GT Lines**} & \multicolumn{1}{c}{**Precision**} & \multicolumn{1}{c}{**Recall**} & \multicolumn{1}{c}{**F1**} \\ \hline CamStd & no & 99.9\% & 99.9\% & 99.9\% & 2437 & 96.8\% & 98.2\% & 97.5\% \\ CamMarg & 100.0\% & 99.3\% & 99.6\% & 6780 & 93.0\% & 93.6\% & 93.3\% \\ CamManual & 99.7\% & 99.4\% & 99.6\% & 5106 & 93.4\% & 91.9\% & 92.6\% \\ Gw5051 & 99.7\% & 99.0\% & 99.4\% & 7269 & 78.5\% & 67.1\% & 72.3\% \\ Gw5056 & 99.5\% & 99.1\% & 99.3\% & 4769 & 88.0\% & 84.5\% & 86.2\% \\ \hline Macro & 99.7\% & 99.3\% & 99.5\% & & 89.9\% & 87.0\% & 88.4\% \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Evaluation of the pixel-level text/non-text segmentation and line instance segmentation of our method on our evaluation datasets CamStd, CamMarg, CamManual, Gw5051, and Gw5056. [1] The user settings were set to the configuration: two-column layout, no marginalia, no dropped capitals, split of the top line into headline and header. [2] The configuration setting was: no dropped capitals. **GW5051:**  
Two-column layout, mixture of headline (i.e., text) and header (page number) in the top line, which must be separated, single footer (sometimes on the same line as text), many images, no dropped capitals, no marginalia. Text lines have a ragged right side. Some degradation, i.e., small parts of a page are missing.