Handwritten Text Recognition (HTR) is essential for digitizing historical documents in
different kinds of archives. In this study, we introduce a hybrid form archive written in French …

This paper proposes the use of hybrid Hidden Markov Model (HMM)/Artificial Neural
Network (ANN) models for recognizing unconstrained offline handwritten texts. The …

Providing computers with the ability to process handwriting is both important and
challenging, since many difficulties (eg, different writing styles, alphabets, languages, etc.) …

Handwritten Text Recognition has achieved an impressive performance in public
benchmarks. However, due to the high inter-and intra-class variability between handwriting …

Abstract Handwritten Text Recognition is a important requirement in order to make visible
the contents of the myriads of historical documents residing in public and private archives …

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analysis, focusing on historical documents, such as handwritten manuscripts and early …

Automatic recognition of mathematical expressions is a challenging pattern recognition
problem since there are many ambiguities at different levels. On the one hand, the …

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 …

The automatic transcription of text in handwritten documents has many applications, from
automatic document processing, to indexing and document understanding. One of the most …

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