TU Dortmund Department of Computer Science LS XII Pattern Recognition GroupPublications → Publication Details

Query-by-Online Word Spotting Revisited: Using CNNs for Cross-Domain Retrieval

Sebastian Sudholt, Leonard Rothacker and Gernot A. Fink
Proc. Int. Conf. on Document Analysis and Recognition, Kyoto, Japan, 2017.

A word spotting system is in large parts characterized by the query modalities it is able to process. The most common modalities here are Query-by-Example and Query-by- String. However, recently a new query type has been proposed: In Query-by-Online-Trajectory (QbO) the query is presented as a set of online-handwritten trajectories. In this work we devise a cross-domain word spotting framework using CNNs which is able to accomplish the QbO task. In particular, we design two different QbO systems which we evaluate in a number of experiments. We are not only able to outperform the current state of the art in QbO word spotting but also show that a system using a single CNN for both online and offline data achieves superior results compared to a system that uses a CNN for each domain individually.

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