Arrow R-CNN for handwritten diagram recognition
We address the problem of offline handwritten diagram recognition. Recently, it has been
shown that diagram symbols can be directly recognized with deep learning object detectors …
shown that diagram symbols can be directly recognized with deep learning object detectors …
The onhw dataset: Online handwriting recognition from imu-enhanced ballpoint pens with machine learning
This paper presents a handwriting recognition (HWR) system that deals with online
character recognition in real-time. Our sensor-enhanced ballpoint pen delivers sensor data …
character recognition in real-time. Our sensor-enhanced ballpoint pen delivers sensor data …
Instance GNN: a learning framework for joint symbol segmentation and recognition in online handwritten diagrams
Online handwritten diagram recognition (OHDR) has attracted considerable attention for its
potential applications in many areas, but it is a challenging task due to the complex 2D …
potential applications in many areas, but it is a challenging task due to the complex 2D …
Online recognition of sketched arrow-connected diagrams
We introduce a new, online, stroke-based recognition system for hand-drawn diagrams
which belong to a group of documents with an explicit structure obvious to humans but only …
which belong to a group of documents with an explicit structure obvious to humans but only …
Transformer-based stroke relation encoding for online handwriting and sketches
Stroke classification for online handwriting and sketches, aimed at grou** strokes into
different semantic categories, has drawn considerable attention due to its wide applications …
different semantic categories, has drawn considerable attention due to its wide applications …
Contextual stroke classification in online handwritten documents with edge graph attention networks
The task of grou** strokes into different categories is an essential processing step in the
automatic analysis of online handwritten documents. The technical challenge originates …
automatic analysis of online handwritten documents. The technical challenge originates …
Online handwritten diagram recognition with graph attention networks
Handwritten text recognition has been extensively researched over decades and achieved
extraordinary success in recent years. However, handwritten diagram recognition is still a …
extraordinary success in recent years. However, handwritten diagram recognition is still a …
[PDF][PDF] Using agglomerative clustering of strokes to perform symbols over-segmentation within a diagram recognition system
Symbol segmentation is a critical part of handwriting recognition. Any mistake done in this
step is propagating further through the recognition pipeline. It forces researchers to consider …
step is propagating further through the recognition pipeline. It forces researchers to consider …
Interactive sketch recognition framework for geometric shapes
With the recent advances in tablet devices industry, sketch recognition has become a
potential replacement for existing systems' traditional user interfaces. Structured diagrams …
potential replacement for existing systems' traditional user interfaces. Structured diagrams …
The role of grou** in sketched diagram recognition
An early step in bottom-up diagram recognition systems is grou** ink strokes into shapes.
This paper gives an overview of the key literature on automatic grou** techniques in …
This paper gives an overview of the key literature on automatic grou** techniques in …