Munich, Mario E. and Perona, Pietro (2002) Visual input for pen-based computers. IEEE Transactions on Pattern Recognition and Machine Intelligence, 24 (3). pp. 313-328. ISSN 0162-8828. https://resolver.caltech.edu/CaltechAUTHORS:MUNieeetpami02
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Abstract
The design and implementation of a camera-based, human-computer interface for acquisition of handwriting is presented. The camera focuses on a standard sheet of paper and images a common pen; the trajectory of the tip of the pen is tracked and the contact with the paper is detected. The recovered trajectory is shown to have sufficient spatio-temporal resolution and accuracy to enable handwritten character recognition. More than 100 subjects have used the system and have provided a large and heterogeneous set of examples showing that the system is both convenient and accurate.
Item Type: | Article | ||||||
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Additional Information: | © 2002 IEEE. Reprinted with permission. Manuscript received 21 June 2000; revised 19 Jan. 2001; accepted 17 Apr. 2001. Recommended for acceptance by D. Dori. The authors would like to acknowledge support from the US National Science Foundation Engineering Research Center on Neuromorphic Systems Engineering at Caltech (National Science Foundation (NSF) Cooperative Agreement No. EEC-9402726). | ||||||
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Subject Keywords: | Systems and applications, active and real-time vision, pen-based computing, pen-based interface | ||||||
Issue or Number: | 3 | ||||||
Record Number: | CaltechAUTHORS:MUNieeetpami02 | ||||||
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:MUNieeetpami02 | ||||||
Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||
ID Code: | 2195 | ||||||
Collection: | CaltechAUTHORS | ||||||
Deposited By: | Archive Administrator | ||||||
Deposited On: | 14 Mar 2006 | ||||||
Last Modified: | 02 Oct 2019 22:51 |
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