LeRec: a NN/HMM hybrid for on-line handwriting recognition
Neural Computation
Combining Multiple Representations and Classifiers for Pen-based Handwritten Digit Recognitio
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
On-Line Handwriting Recognition with Support Vector Machines " A Kernel Approach
IWFHR '02 Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR'02)
Sketched Symbol Recognition using Zernike Moments
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Local Context in Non-Linear Deformation Models for Handwritten Character Recognition
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
SketchREAD: a multi-domain sketch recognition engine
Proceedings of the 17th annual ACM symposium on User interface software and technology
Online Character Recognition Using Eigen-Deformations
IWFHR '04 Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition
Recognition and Grouping of Handwritten Text in Diagrams and Equations
IWFHR '04 Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition
LADDER: a language to describe drawing, display, and editing in sketch recognition
ACM SIGGRAPH 2006 Courses
Envisioning sketch recognition: a local feature based approach to recognizing informal sketches
Envisioning sketch recognition: a local feature based approach to recognizing informal sketches
Recognition of hand drawn chemical diagrams
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Toward natural interaction in the real world: real-time gesture recognition
International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction
Feature extraction and classifier combination for image-based sketch recognition
Proceedings of the Seventh Sketch-Based Interfaces and Modeling Symposium
ChemInk: a natural real-time recognition system for chemical drawings
Proceedings of the 16th international conference on Intelligent user interfaces
From engineering diagrams to engineering models: Visual recognition and applications
Computer-Aided Design
Reconstruction of concurrent lines from leaning points
IWCIA'11 Proceedings of the 14th international conference on Combinatorial image analysis
Proceedings of the Eighth Eurographics Symposium on Sketch-Based Interfaces and Modeling
Recognizing sketched multistroke primitives
ACM Transactions on Interactive Intelligent Systems (TiiS)
Technical Section: Neural network-based symbol recognition using a few labeled samples
Computers and Graphics
Bootstrapping personal gesture shortcuts with the wisdom of the crowd and handwriting recognition
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Sketched symbol recognition with auto-completion
Pattern Recognition
HBF49 feature set: A first unified baseline for online symbol recognition
Pattern Recognition
Proceedings of the 25th annual ACM symposium on User interface software and technology
Information Sciences: an International Journal
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There is increasing interest in building systems that can automatically interpret hand-drawn sketches. However, many challenges remain in terms of recognition accuracy, robustness to different drawing styles, and ability to generalize across multiple domains. To address these challenges, we propose a new approach to sketched symbol recognition that focuses on the visual appearance of the symbols. This allows us to better handle the range of visual and stroke-level variations found in freehand drawings. We also present a new symbol classifier that is computationally efficient and invariant to rotation and local deformations. We show that our method exceeds state-of-the-art performance on all three domains we evaluated, including handwritten digits, PowerPoint shapes, and electrical circuit symbols.