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

Digital ink promises to combine the flexibility and aesthetics of handwriting and the ability to
process, search and edit digital text. Character recognition converts handwritten text into a …

This study proposes DeepWriteSYN, a novel on-line handwriting synthesis approach via
deep short-term representations. It comprises two modules: i) an optional and …

Training deep learning based handwritten text recognition systems needs a lot of data in
terms of text images and their corresponding annotations. One way to deal with this issue is …

There are many scenarios where we wish to imitate a specific author's pen-on-paper
handwriting style. Rendering new text in someone's handwriting is difficult because natural …

Ink is a powerful medium for note-taking and creativity tasks. Multi-touch devices and stylus
input have enabled digital ink to be editable and searchable. To extend the capabilities of …

Recurrent neural networks (RNN) require large training datasets from which they learn new
class models. This limitation prohibits their use in custom gesture applications where only …

Aesthetic evaluation of Chinese calligraphy is one of the most challenging tasks in Artificial
Intelligence. This paper attempts to solve this problem by proposing a number of aesthetic …

Handwritten font generation is important for preserving cultural heritage and creating
personalized designs. It adds an authentic and expressive touch to printed materials …

Online fraud often involves identity theft. Since most security measures are weak or can be
spoofed, we investigate a more nuanced and less explored avenue: behavioral biometrics …