Handwritten text recognition in low resource scenarios, such as manuscripts with rare
alphabets, is a challenging problem. In this paper, we propose a few-shot learning-based …

Many historians and linguists are working individually and in an uncoordinated fashion on
the identification and decryption of historical ciphers. This is a time-consuming process as …

Encoded (or ciphered) manuscripts are a special type of historical documents that contain
encrypted text. The automatic recognition of this kind of documents is challenging because …

Abstract Low resource Handwritten Text Recognition (HTR) is a hard problem due to the
scarce annotated data and the very limited linguistic information (dictionaries and language …

European libraries and archives are filled with enciphered manuscripts from the early
modern period. These include military and diplomatic correspondence, records of secret …

Historical ciphers, a special type of manuscripts, contain encrypted information, important for
the interpretation of our history. The first step towards decipherment is to transcribe the …

Recent breakthroughs in Artificial Intelligence, Deep Learning, and Document Image
Analysis and Recognition have significantly eased the creation of digital libraries and the …

Data rescuers worldwide have been trying to retrieve millions of valuable weather historical
records so the observations contained in those records are preserved, searchable …

Nowadays, there are still many handwritten historical documents in archives waiting to be
transcribed and indexed. Since manual transcription is tedious and time consuming, the …

Handwritten text recognition in low resource scenarios, such as manuscripts with rare
alphabets, is a challenging problem. The main difficulty comes from the very few annotated …