Paper Info
Title
A Handwriting Recognition System Based on Visual Input
Abstract
One of the most promising methods of interacting with small portable computing devices such as personal digital assistants is the use of handwriting. However, for data acquisition touch sensitive pads, which are limited in size, and special pens are required. In order to render this communication method more natural Munich & Perona [11] proposed to visually observe the writing process on ordinary paper and to automatically recover the pen trajectory from video image sequences. On the basis of this work we developed a complete handwriting recognition system based on visual input. In this paper we will describe the methods employed for pen tracking, feature extraction, and statistical handwriting recognition. The di erences compared to classical on-line recognition systems and the modi cations in the visual tracking process will be discussed. In order to demonstrate the feasibility of the proposed approach evaluation results on a small writer independent unconstrained handwriting recognition task will be presented.
Year
Venue
Keywords
2001
ICVS
visual input,pen tracking,small portable computing device,small writer,handwriting recognition system,pen trajectory,statistical handwriting recognition,complete handwriting recognition system,classical on-line recognition system,proposed approach evaluation result,ordinary paper,independent unconstrained handwriting recognition,data acquisition,feature extraction,handwriting recognition,visual tracking
Field
DocType
ISBN
Computer vision,Handwriting,Intelligent character recognition,Computer science,Data acquisition,Handwriting recognition,Image processing,Feature extraction,Speech recognition,Eye tracking,Artificial intelligence,Systems architecture
Conference
3-540-42285-4
Citations 
PageRank 
References 
1
0.35
10
Authors
3
Name
Order
Citations
PageRank
Markus Wienecke1141.15
Gernot A. Fink288882.73
Gerhard Sagerer3830108.85