This paper presents a systematic literature review of image datasets for document image
analysis, focusing on historical documents, such as handwritten manuscripts and early …

This paper describes the Handwritten Text Recognition (HTR) competition on the READ
dataset that has been held in the context of the International Conference on Frontiers in …

Historical Document Processing (HDP) is the process of digitizing written material from the
past for future use by historians and other scholars. It incorporates algorithms and software …

Historical records of daily activities provide intriguing insights into the life of our ancestors,
useful for demography studies and genealogical research. Automatic processing of …

Despite the transition to digital information exchange, many documents, such as invoices,
taxes, memos and questionnaires, historical data, and answers to exam questions, still …

In this paper we address the problem of offline handwritten text recognition (HTR) in
historical documents when few labeled samples are available and some of them contain …

In this paper we deal with the offline handwriting text recognition (HTR) problem with
reduced training data sets. Recent HTR solutions based on artificial neural networks exhibit …

This book presents an interactive multimodal approach for efficient transcription of
handwritten text images. This approach, rather than full automation, assists the expert in the …

The use of different texture-based methods is pervasive in different subfields and tasks of
document image analysis (DIA) and particularly in historical DIA (HDIA). Nevertheless, faced …

The digitization of historical handwritten document images is important for the preservation
of cultural heritage. Moreover, the transcription of text images obtained from digitization is …