Nowadays, deep learning methods are employed in a broad range of research fields. The
analysis and recognition of historical documents, as we survey in this work, is not an …

An optical character recognition (OCR) system plays an important role in the digitization of
ancient handwritten text document. Various adversaries of ancient documents such as ink …

This paper is the editorial of the virtual special issue (VSI)“Pattern recognition and artificial
intelligence techniques for cultural heritage”, of which the authors of this paper have been …

Localization is one of the most important issues in mobile robotics, especially when an
autonomous mobile robot performs a navigation task. The current and popular occupancy …

RNN based Deep learning models has shown tremendous success in sequential and
temporal data where the order is critical to achieve higher accuracy in context …

Offline handwritten text recognition is still a big challenging problem due to various
backgrounds, noises, diversity of writing styles, and multiple touches between characters. In …

Any optical character recognition (OCR) system recognizes each and every character
present in any document image. But, the task of performing OCR in ancient handwritten …

In the framework of palaeography, the availability of both effective image analysis
algorithms, and high-quality digital images has favored the development of new applications …

Over the past several years, many archivists and historians have pointed out growing needs
closely related to robust and efficient offline handwritten text recognition systems able to …

An optical character recognition (OCR) system segments the character from the given
document before recognizing it. The recognition of such character images requires the class …