Image Processing

Since we often work with scanned documents and other image materials such as historical texts or maps, we employ methods of image processing. We successfuly work with modern deep convolutional and fully-convolutional neural networks as well as standard computer vision algorithms (binarization, connected component analysis, edge detection and many others). We have also experience with OCR models based on convolutional and recurrent neural networks.


Improving Face Recognition Methods based on POEM Features
Ladislav Lenc and Pavel Král
12th International Conference on Agents and Artificial Intelligence (2020)
Neural Networks | Image Processing
Re-Ranking for Writer Identification and Writer Retrieval
Simon Jordan and Mathias Seuret and Pavel Král and Ladislav Lenc and Jiří Martínek and Barbara Wiermann and Tobias Schwinger and Andreas Maier and Vincent Christlein
14th IAPR International Workshop on Document Analysis Systems (2020)
Neural Networks | Image Processing
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