Uncovering the Handwritten Text in the Margins: End-to-end Handwritten Text Detection and Recognition

The pressing need for digitization of historical documents has led to a strong interest in designing computerised image processing methods for automatic handwritten text recognition. However, not much attention has been paid on studying the handwritten text written in the margins, i.e. marginalia, that also forms an important source of information. Nevertheless, training an accurate and robust recognition system for marginalia calls for data-efficient approaches due to the unavailability of sufficient amounts of annotated multi-writer texts. Therefore, this work presents …

attention cs.cv designing detection digitization documents forms image image processing margins processing recognition studying text