Handwriting synthesis, the task of automatically generating realistic images of handwritten
text, has gained increasing attention in recent years, both as a challenge in itself, as well as …

Handwriting, as a uniquely human skill, contributes to fine motor development and cognitive
growth. Beyond mere functionality, handwriting carries individuality and subtle emotional …

Pretraining has proven successful in Document Intelligence tasks where deluge of
documents are used to pretrain the models only later to be finetuned on downstream tasks …

Manuscripts serve as a wealth of knowledge for future generations and are a useful source
of information for locating material from the Middle Ages. Ancient manuscripts can be found …

With the advancement of deep learning-based character recognition models, the training
data size has become a crucial factor in improving the performance of handwritten text …

The emergence of transformer models like BERT, GPT-2, GPT-3, RoBERTa, T5 for natural
language understanding tasks has opened the floodgates towards solving a wide array of …

Abstract Recent advancements in Deep Learning-based Handwritten Text Recognition
(HTR) have led to models with remarkable performance on both modern and historical …

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

Seals are small coin-shaped artifacts, mostly made of lead, held with strings to seal letters.
This work presents the first attempt towards automatic reading of text on Byzantine seal …

This paper investigates the effectiveness of different deep learning HTR families, including
LSTM, Seq2Seq, and transformer-based approaches with self-supervised pretraining, in …