Document-Level positioning of a pen tip by retrieval of image fragments

Koiehi Kise, Kazumasa Iwata, Tomohiro Nakai, Masakazu Iwamura, Seiichi Uchida, Shinichiro Omachi

Research output: Contribution to conferencePaperpeer-review

4 Citations (Scopus)

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 languageEnglish
Pages61-68
Number of pages8
Publication statusPublished - 2009
Event3rd International Workshop on Camera-Based Document Analysis and Recognition, CBDAR 2009 - Barcelona, Spain
Duration: 2009 Jul 252009 Jul 25

Other

Other3rd International Workshop on Camera-Based Document Analysis and Recognition, CBDAR 2009
Country/TerritorySpain
CityBarcelona
Period09/7/2509/7/25

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Software

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