A METHOD FOR HANDWRITING INPUT AND CORRECTION ON SMARTPHONES

G. Loudon; O. Pellijff; L. Zhong-Wei; H. Hall

A METHOD FOR HANDWRITING INPUT AND CORRECTION ON SMARTPHONES

G. Loudon, O. Pellijff, L. Zhong-Wei, H. Hall

University of Groningen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic

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Abstract

This paper describes a new approach for entering text on a \"Smartphone\" via natural handwriting input. The approach focuses on ease of use within the confines of a Smartphone display size and processing limitations. Therefore there are two integrated components to the approach. The first is a new handwriting recognition engine that has been designed to have a very high recognition accuracy (98.3% character accuracy), support sentencebased handwriting input, and have a small memory footprint (84 kb) and fast processing time. The second is a method that allows very simple editing and correction of recognized characters.

Original language	English
Title of host publication	EPRINTS-BOOK-TITLE
Publisher	s.n.
Number of pages	6
Publication status	Published - 2004

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title = "A METHOD FOR HANDWRITING INPUT AND CORRECTION ON SMARTPHONES",

abstract = "This paper describes a new approach for entering text on a \{"}Smartphone\{"} via natural handwriting input. The approach focuses on ease of use within the confines of a Smartphone display size and processing limitations. Therefore there are two integrated components to the approach. The first is a new handwriting recognition engine that has been designed to have a very high recognition accuracy (98.3% character accuracy), support sentencebased handwriting input, and have a small memory footprint (84 kb) and fast processing time. The second is a method that allows very simple editing and correction of recognized characters.",

author = "G. Loudon and O. Pellijff and L. Zhong-Wei and H. Hall",

note = "date_submitted:2004 Rights: University of Groningen",

year = "2004",

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AU - Loudon, G.

AU - Pellijff, O.

AU - Zhong-Wei, L.

AU - Hall, H.

N1 - date_submitted:2004 Rights: University of Groningen

PY - 2004

Y1 - 2004

N2 - This paper describes a new approach for entering text on a \"Smartphone\" via natural handwriting input. The approach focuses on ease of use within the confines of a Smartphone display size and processing limitations. Therefore there are two integrated components to the approach. The first is a new handwriting recognition engine that has been designed to have a very high recognition accuracy (98.3% character accuracy), support sentencebased handwriting input, and have a small memory footprint (84 kb) and fast processing time. The second is a method that allows very simple editing and correction of recognized characters.

AB - This paper describes a new approach for entering text on a \"Smartphone\" via natural handwriting input. The approach focuses on ease of use within the confines of a Smartphone display size and processing limitations. Therefore there are two integrated components to the approach. The first is a new handwriting recognition engine that has been designed to have a very high recognition accuracy (98.3% character accuracy), support sentencebased handwriting input, and have a small memory footprint (84 kb) and fast processing time. The second is a method that allows very simple editing and correction of recognized characters.

M3 - Conference contribution

BT - EPRINTS-BOOK-TITLE

PB - s.n.

ER -

A METHOD FOR HANDWRITING INPUT AND CORRECTION ON SMARTPHONES

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