DOCUMENT ANALYSIS AND TEXT RECOGNITION: BENCHMARKING STATE-OF-THE-ART SYSTEMS

The compendium presents the latest results of the most prominent competitions held in the field of Document Analysis and Text Recognition. It includes a description of the participating systems and the underlying methods on one hand and the datasets used together with evaluation metrics on the other hand. This volume also demonstrates with examples, how to organize a competition and how to make it successful. It will be an indispensable handbook to the document image analysis community.

Readership: Researchers, academics, professionals and graduate students in pattern recognition/image analysis, neural networks, and innovation/technology.