The presence of handwritten text and annotations combined with typewritten machine-printed in historical archival records make them visually complex, posing challenges for OCR systems accurately transcribing their content. This paper is an extension [1], reporting on improvements the separation from (including typewriters), by use FCN-based models trained datasets created different data synthes...

Text classification refers to determine the class of an unknown text according to its content in the given classification system. In this paper the enhanced features are used to find distribution of a word in a single document or multiple number of documents. It can be exploited by a TF-IDF style equation, and different features are combined using ensemble learning techniques. Features are not ...