An On-line Recognition System for Handwritten Pitman Shorthand

Ma Yang; Graham Leedham; Colin Higgins; Swe Myo Htwe

doi:10.1109/TENCON.2005.301199

An On-line Recognition System for Handwritten Pitman Shorthand

Ma Yang
, Graham Leedham
, Colin Higgins
, Swe Myo Htwe

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper investigates the potential of Pitman shorthand as a mean of fast real-time handwritten text entry (>120 wpm) on hand-held devices. An online system which combines input, recognition and transcription of Pitman shorthand is proposed. The main recognition algorithms taken in the demonstration system are discussed and evaluated. Based on the implementation experience of the system, future research directions are discussed.

Original language	English
Title of host publication	Proceedings of the IEEE Region 10 Conference (TENCON'05)
Place of Publication	Los Alamitos, United States of America
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	2104-2019
ISBN (Print)	0780393112
DOIs	https://doi.org/10.1109/TENCON.2005.301199
Publication status	Published - 2005
Event	TENCON 2005: IEEE Region 10 Conference - Melbourne, Australia Duration: 21 Nov 2005 → 24 Nov 2005

Conference

Conference	TENCON 2005: IEEE Region 10 Conference
City	Melbourne, Australia
Period	21/11/05 → 24/11/05

Keywords

Image Processing
Pattern Recognition and Data Mining

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10.1109/TENCON.2005.301199

https://hdl.handle.net/1959.11/9761

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@inproceedings{9c0c38ddb190420c86873b640fed3404,

title = "An On-line Recognition System for Handwritten Pitman Shorthand",

abstract = "This paper investigates the potential of Pitman shorthand as a mean of fast real-time handwritten text entry (>120 wpm) on hand-held devices. An online system which combines input, recognition and transcription of Pitman shorthand is proposed. The main recognition algorithms taken in the demonstration system are discussed and evaluated. Based on the implementation experience of the system, future research directions are discussed.",

keywords = "Image Processing, Pattern Recognition and Data Mining",

author = "Ma Yang and Graham Leedham and Colin Higgins and Htwe, \{Swe Myo\}",

year = "2005",

doi = "10.1109/TENCON.2005.301199",

language = "English",

isbn = "0780393112",

pages = "2104--2019",

booktitle = "Proceedings of the IEEE Region 10 Conference (TENCON'05)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

note = "TENCON 2005: IEEE Region 10 Conference ; Conference date: 21-11-2005 Through 24-11-2005",

}

Yang, M, Leedham, G, Higgins, C & Htwe, SM 2005, An On-line Recognition System for Handwritten Pitman Shorthand. in Proceedings of the IEEE Region 10 Conference (TENCON'05). Institute of Electrical and Electronics Engineers (IEEE), Los Alamitos, United States of America, pp. 2104-2019, TENCON 2005: IEEE Region 10 Conference, Melbourne, Australia, 21/11/05. https://doi.org/10.1109/TENCON.2005.301199

An On-line Recognition System for Handwritten Pitman Shorthand. / Yang, Ma; Leedham, Graham; Higgins, Colin et al.
Proceedings of the IEEE Region 10 Conference (TENCON'05). Los Alamitos, United States of America: Institute of Electrical and Electronics Engineers (IEEE), 2005. p. 2104-2019.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An On-line Recognition System for Handwritten Pitman Shorthand

AU - Yang, Ma

AU - Leedham, Graham

AU - Higgins, Colin

AU - Htwe, Swe Myo

PY - 2005

Y1 - 2005

N2 - This paper investigates the potential of Pitman shorthand as a mean of fast real-time handwritten text entry (>120 wpm) on hand-held devices. An online system which combines input, recognition and transcription of Pitman shorthand is proposed. The main recognition algorithms taken in the demonstration system are discussed and evaluated. Based on the implementation experience of the system, future research directions are discussed.

AB - This paper investigates the potential of Pitman shorthand as a mean of fast real-time handwritten text entry (>120 wpm) on hand-held devices. An online system which combines input, recognition and transcription of Pitman shorthand is proposed. The main recognition algorithms taken in the demonstration system are discussed and evaluated. Based on the implementation experience of the system, future research directions are discussed.

KW - Image Processing

KW - Pattern Recognition and Data Mining

U2 - 10.1109/TENCON.2005.301199

DO - 10.1109/TENCON.2005.301199

M3 - Conference contribution

SN - 0780393112

SP - 2104

EP - 2019

BT - Proceedings of the IEEE Region 10 Conference (TENCON'05)

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Los Alamitos, United States of America

T2 - TENCON 2005: IEEE Region 10 Conference

Y2 - 21 November 2005 through 24 November 2005

ER -

An On-line Recognition System for Handwritten Pitman Shorthand

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Keywords

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