Online handwriting recognition is gaining renewed interest owing to the increase of pen
computing applications and new pen input devices. The recognition of Chinese characters is …

We describe an online handwriting system that is able to support 102 languages using a
deep neural network architecture. This new system has completely replaced our previous …

Handwriting recognition is one of the challenging tasks in the area of pattern recognition and
machine learning. Handwriting recognition has two flavors, namely, Offline Handwriting …

We describe Google's online handwriting recognition system that currently supports 22
scripts and 97 languages. The system's focus is on fast, high-accuracy text entry for mobile …

Segmentation accuracy plays a vital role in script recognition process and therefore,
research in this area is still fresh. Accordingly, this paper presents a new method for …

As the rise of pen-enabled interfaces is accompanied with an increased number of
techniques for recognition of pen-based input, recent trends in symbol recognition show an …

Handwriting recognition is one of the challenging tasks in the area of pattern recognition and
machine learning. This paper presents the recognition of Online handwritten basic …

In this paper, we describe a system for the automatic recognition of isolated handwritten
Devanagari characters obtained by linearizing consonant conjuncts. Owing to the large …

The variability observed in handwriting patterns is analyzed from the perspective of
integrating the resulting motor control knowledge in the design of more powerful handwriting …

Online handwriting recognition of Indian scripts has been drawing increasing attention in
recent years. Related research has gained further momentum due to recent planned funding …