Abstract
This paper presents a new method of positioning a pen tip on a document for pen-based computing. Current technologies such as the Anoto pens rely on special mechanisms for positioning, which result in limiting their applicability.Our proposal is to ease this problem - a camera pen that allows us to write on ordinary paper for positioning. A document image retrieval method calledLLAH is tuned to position the pen tip efficiently on the coordinates of a document only by capturing its tiny image fragment. In this paper we report results of preliminary experiments about recovering handwriting of simple figures and letters on documents using a prototype camera pen.
Original language | English |
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Title of host publication | Proceedings of the 3rd International Workshop on Camera-Based Document Analysis and Recognition, CBDAR 2009 |
Pages | 61-68 |
Number of pages | 8 |
Publication status | Published - 2009 |
Event | 3rd International Workshop on Camera-Based Document Analysis and Recognition, CBDAR 2009 - Barcelona, Spain Duration: Jul 25 2009 → Jul 25 2009 |
Other
Other | 3rd International Workshop on Camera-Based Document Analysis and Recognition, CBDAR 2009 |
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Country/Territory | Spain |
City | Barcelona |
Period | 7/25/09 → 7/25/09 |
All Science Journal Classification (ASJC) codes
- Computer Vision and Pattern Recognition
- Human-Computer Interaction
- Software