Segmentation and Recognition of Vocalized Outlines in Pitman Shorthand

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

doi:10.1109/ICPR.2004.1334153

Segmentation and Recognition of Vocalized Outlines in Pitman Shorthand

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

Applied Computing

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

5 Citations (Scopus)

Abstract

There is a wish to be able to enter text into mobile computing devices at the speed of speech. Only handwritten shorthand schemes can achieve this data recording rate. A novel approach to the recognition of vocalized outlines in Pitman's shorthand is proposed in this paper. In this approach, the recognition process is divided into two steps. The consonant outline is first recognized by a two-stage (segmentation and classification) approach. Afterwards surrounding vowel and diphthong symbols are classified and their positions in relation to an associated consonant stroke are determined. Promising results of over 70% recognition accuracy have been obtained.

Original language	English
Title of host publication	Proceedings of the 17th International Conference on Pattern Recognition (ICPR'04)
Editors	Josef Kittler
Place of Publication	Los Alamitos, United States of America
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	441-444
Volume	1
ISBN (Print)	0769521282
DOIs	https://doi.org/10.1109/ICPR.2004.1334153
Publication status	Published - 2004
Event	ICPR 2004: 17th International Conference on Pattern Recognition - Cambridge, United Kingdom Duration: 23 Aug 2004 → 26 Aug 2004

Conference

Conference	ICPR 2004: 17th International Conference on Pattern Recognition
City	Cambridge, United Kingdom
Period	23/08/04 → 26/08/04

Keywords

Pattern Recognition and Data Mining

Access to Document

10.1109/ICPR.2004.1334153

https://hdl.handle.net/1959.11/18017

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@inproceedings{aec6b21fd8774f27982b6650fb4a7078,

title = "Segmentation and Recognition of Vocalized Outlines in Pitman Shorthand",

abstract = "There is a wish to be able to enter text into mobile computing devices at the speed of speech. Only handwritten shorthand schemes can achieve this data recording rate. A novel approach to the recognition of vocalized outlines in Pitman's shorthand is proposed in this paper. In this approach, the recognition process is divided into two steps. The consonant outline is first recognized by a two-stage (segmentation and classification) approach. Afterwards surrounding vowel and diphthong symbols are classified and their positions in relation to an associated consonant stroke are determined. Promising results of over 70\% recognition accuracy have been obtained.",

keywords = "Pattern Recognition and Data Mining",

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

year = "2004",

doi = "10.1109/ICPR.2004.1334153",

language = "English",

isbn = "0769521282",

volume = "1",

pages = "441--444",

editor = "Josef Kittler",

booktitle = "Proceedings of the 17th International Conference on Pattern Recognition (ICPR'04)",

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

note = "ICPR 2004: 17th International Conference on Pattern Recognition ; Conference date: 23-08-2004 Through 26-08-2004",

}

Yang, M, Leedham, G, Higgins, C & Htwe, SM 2004, Segmentation and Recognition of Vocalized Outlines in Pitman Shorthand. in J Kittler (ed.), Proceedings of the 17th International Conference on Pattern Recognition (ICPR'04). vol. 1, Institute of Electrical and Electronics Engineers (IEEE), Los Alamitos, United States of America, pp. 441-444, ICPR 2004: 17th International Conference on Pattern Recognition, Cambridge, United Kingdom, 23/08/04. https://doi.org/10.1109/ICPR.2004.1334153

Segmentation and Recognition of Vocalized Outlines in Pitman Shorthand. / Yang, Ma; Leedham, Graham; Higgins, Colin et al.
Proceedings of the 17th International Conference on Pattern Recognition (ICPR'04). ed. / Josef Kittler. Vol. 1 Los Alamitos, United States of America: Institute of Electrical and Electronics Engineers (IEEE), 2004. p. 441-444.

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

TY - GEN

T1 - Segmentation and Recognition of Vocalized Outlines in Pitman Shorthand

AU - Yang, Ma

AU - Leedham, Graham

AU - Higgins, Colin

AU - Htwe, Swe Myo

PY - 2004

Y1 - 2004

N2 - There is a wish to be able to enter text into mobile computing devices at the speed of speech. Only handwritten shorthand schemes can achieve this data recording rate. A novel approach to the recognition of vocalized outlines in Pitman's shorthand is proposed in this paper. In this approach, the recognition process is divided into two steps. The consonant outline is first recognized by a two-stage (segmentation and classification) approach. Afterwards surrounding vowel and diphthong symbols are classified and their positions in relation to an associated consonant stroke are determined. Promising results of over 70% recognition accuracy have been obtained.

AB - There is a wish to be able to enter text into mobile computing devices at the speed of speech. Only handwritten shorthand schemes can achieve this data recording rate. A novel approach to the recognition of vocalized outlines in Pitman's shorthand is proposed in this paper. In this approach, the recognition process is divided into two steps. The consonant outline is first recognized by a two-stage (segmentation and classification) approach. Afterwards surrounding vowel and diphthong symbols are classified and their positions in relation to an associated consonant stroke are determined. Promising results of over 70% recognition accuracy have been obtained.

KW - Pattern Recognition and Data Mining

U2 - 10.1109/ICPR.2004.1334153

DO - 10.1109/ICPR.2004.1334153

M3 - Conference contribution

SN - 0769521282

VL - 1

SP - 441

EP - 444

BT - Proceedings of the 17th International Conference on Pattern Recognition (ICPR'04)

A2 - Kittler, Josef

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Los Alamitos, United States of America

T2 - ICPR 2004: 17th International Conference on Pattern Recognition

Y2 - 23 August 2004 through 26 August 2004

ER -

Segmentation and Recognition of Vocalized Outlines in Pitman Shorthand

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