Specifying gestures by example
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
A marking based interface for collaborative writing
UIST '93 Proceedings of the 6th annual ACM symposium on User interface software and technology
On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reflowing digital ink annotations
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Symbol Recognition: Current Advances and Perspectives
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
A Tool for Versatile and User-friendly Document Correction
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Paper augmented digital documents
Proceedings of the 16th annual ACM symposium on User interface software and technology
Sketched Symbol Recognition using Zernike Moments
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Discrimination Properties of Invariants Using the Line Moments of Vectorized Contours
ICPR '96 Proceedings of the 13th International Conference on Pattern Recognition - Volume 2
Some new indexes of cluster validity
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Categorization of Digital Ink Elements Using Spectral Features
Graphics Recognition. Recent Advances and New Opportunities
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We present a sketch-based system for proofreading documents. The gestures and words drawn by the proofreader on a document view are translated into high-level actions that represent editions such as replace, insert, delete and others. Our particular system is not restricted to a predefined alphabet of gestures. Instead, any symbol can be employed for striking out words or drawing inserts. This provides more flexibility and adaptability to the user. In contrast to other similar works, our interface integrates interpretation and recognition of handwritten words. The described system has been implemented for proofreading digital documents on screen but also for paper documents printed on Anoto paper and annotated using a digital pen.