Fundamentals of digital image processing
Fundamentals of digital image processing
Recovery of temporal information from static images of handwriting
International Journal of Computer Vision - Special issue: image understanding research at the University of Maryland
On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recovery of Drawing Order from Single-Stroke Handwriting Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Real Time Color Tracking
RoboCup 2000: Robot Soccer World Cup IV
Estimating the Pen Trajectories of Static Signatures Using Hidden Markov Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Data-embedding pen: augmenting ink strokes with meta-information
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Techniques for static handwriting trajectory recovery: a survey
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Embedding Meta-Information in Handwriting -- Reed-Solomon for Reliable Error Correction
ICFHR '10 Proceedings of the 2010 12th International Conference on Frontiers in Handwriting Recognition
Reliable Online Stroke Recovery from Offline Data with the Data-Embedding Pen
ICDAR '11 Proceedings of the 2011 International Conference on Document Analysis and Recognition
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In this paper we present a novel digital pen device, called data-embedding pen, for enhancing the value of handwriting on physical paper. This pen produces an additional ink-dot sequence along a written stroke during writing. This ink-dot sequence represents arbitrary information, such as writer's name and writing date. Since the information is placed on the paper as an ink-dot sequence, it can be retrieved just by scanning or photographing the paper. In addition to the hardware of the data-embedding pen, this paper also proposes a coding scheme for reliable data-embedding and retrieval. In fact, the physical data-embedding on a paper will undergo various severe errors and therefore a robust coding scheme is necessary. Through experiments on data written by two writers, we show that we can embed 32 bits on short and simple or even on more complex patterns and finally retrieve them with a high reliability.