A Modular Region and Text Line Layout Analysis System

High quality document layout analysis is fundamental to the accurate processing of handwritten textual material, on both the level of individual lines and higher order zones demarking textual and non-textual content. We present an artificial neural network based approach to prediction of either that is implemented as part of a libre optical character recognition package and highly reconfigurable for a variety of tasks. Experiments on different openly available datasets show competitive results to state-of-the-art methods.