Evaluation of Feature Sets in the Post Processing of Handwritten Pitman's Shorthand

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

doi:10.1109/IWFHR.2004.39

Evaluation of Feature Sets in the Post Processing of Handwritten Pitman's Shorthand

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

Computer Science

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

1 Citation (Scopus)

Abstract

Innovative ways to rapidly input text becomes essential in today's world of mobile computing. The paper discusses the computer transcription of handwritten Pitman shorthand as a means of rapid text entry to pen-based computers, particularly from the aspect of linguistic post processing. Feature-to-phoneme conversion is introduced as the first stage of a text interpreter and the application of various production rules based on different pattern structures is discussed. It demonstrates that phoneme ordering is compulsory in dictionary-based transcription and the use of an approximate pattern-matching algorithm resolves the problem of recognition confusion between similar patterns. Experimental results are promising and demonstrate an overall accuracy of 84%.

Original language	English
Title of host publication	Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR-9)
Editors	F Kimura, H Fujisawa
Place of Publication	Los Alamitos, United States of America
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	359-364
ISBN (Print)	0769521878
DOIs	https://doi.org/10.1109/IWFHR.2004.39
Publication status	Published - 2004
Event	IWFHR 2004: 9th International Workshop on Frontiers in Handwriting Recognition - Tokyo, Japan Duration: 26 Oct 2004 → 29 Oct 2004

Conference

Conference	IWFHR 2004: 9th International Workshop on Frontiers in Handwriting Recognition
City	Tokyo, Japan
Period	26/10/04 → 29/10/04

Keywords

Image Processing
Pattern Recognition and Data Mining

Access to Document

10.1109/IWFHR.2004.39

https://hdl.handle.net/1959.11/18018

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Htwe, S. M., Higgins, C., Leedham, G., & Yang, M. (2004). Evaluation of Feature Sets in the Post Processing of Handwritten Pitman's Shorthand. In F. Kimura, & H. Fujisawa (Eds.), Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR-9) (pp. 359-364). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/IWFHR.2004.39

Htwe, Swe Myo ; Higgins, Colin ; Leedham, Graham et al. / Evaluation of Feature Sets in the Post Processing of Handwritten Pitman's Shorthand. Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR-9). editor / F Kimura ; H Fujisawa. Los Alamitos, United States of America : Institute of Electrical and Electronics Engineers (IEEE), 2004. pp. 359-364

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title = "Evaluation of Feature Sets in the Post Processing of Handwritten Pitman's Shorthand",

abstract = "Innovative ways to rapidly input text becomes essential in today's world of mobile computing. The paper discusses the computer transcription of handwritten Pitman shorthand as a means of rapid text entry to pen-based computers, particularly from the aspect of linguistic post processing. Feature-to-phoneme conversion is introduced as the first stage of a text interpreter and the application of various production rules based on different pattern structures is discussed. It demonstrates that phoneme ordering is compulsory in dictionary-based transcription and the use of an approximate pattern-matching algorithm resolves the problem of recognition confusion between similar patterns. Experimental results are promising and demonstrate an overall accuracy of 84\%.",

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booktitle = "Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR-9)",

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note = "IWFHR 2004: 9th International Workshop on Frontiers in Handwriting Recognition ; Conference date: 26-10-2004 Through 29-10-2004",

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Htwe, SM, Higgins, C, Leedham, G & Yang, M 2004, Evaluation of Feature Sets in the Post Processing of Handwritten Pitman's Shorthand. in F Kimura & H Fujisawa (eds), Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR-9). Institute of Electrical and Electronics Engineers (IEEE), Los Alamitos, United States of America, pp. 359-364, IWFHR 2004: 9th International Workshop on Frontiers in Handwriting Recognition, Tokyo, Japan, 26/10/04. https://doi.org/10.1109/IWFHR.2004.39

Evaluation of Feature Sets in the Post Processing of Handwritten Pitman's Shorthand. / Htwe, Swe Myo; Higgins, Colin; Leedham, Graham et al.
Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR-9). ed. / F Kimura; H Fujisawa. Los Alamitos, United States of America: Institute of Electrical and Electronics Engineers (IEEE), 2004. p. 359-364.

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

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AU - Htwe, Swe Myo

AU - Higgins, Colin

AU - Leedham, Graham

AU - Yang, Ma

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Y1 - 2004

N2 - Innovative ways to rapidly input text becomes essential in today's world of mobile computing. The paper discusses the computer transcription of handwritten Pitman shorthand as a means of rapid text entry to pen-based computers, particularly from the aspect of linguistic post processing. Feature-to-phoneme conversion is introduced as the first stage of a text interpreter and the application of various production rules based on different pattern structures is discussed. It demonstrates that phoneme ordering is compulsory in dictionary-based transcription and the use of an approximate pattern-matching algorithm resolves the problem of recognition confusion between similar patterns. Experimental results are promising and demonstrate an overall accuracy of 84%.

AB - Innovative ways to rapidly input text becomes essential in today's world of mobile computing. The paper discusses the computer transcription of handwritten Pitman shorthand as a means of rapid text entry to pen-based computers, particularly from the aspect of linguistic post processing. Feature-to-phoneme conversion is introduced as the first stage of a text interpreter and the application of various production rules based on different pattern structures is discussed. It demonstrates that phoneme ordering is compulsory in dictionary-based transcription and the use of an approximate pattern-matching algorithm resolves the problem of recognition confusion between similar patterns. Experimental results are promising and demonstrate an overall accuracy of 84%.

KW - Image Processing

KW - Pattern Recognition and Data Mining

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DO - 10.1109/IWFHR.2004.39

M3 - Conference contribution

SN - 0769521878

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BT - Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR-9)

A2 - Kimura, F

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Htwe SM, Higgins C, Leedham G, Yang M. Evaluation of Feature Sets in the Post Processing of Handwritten Pitman's Shorthand. In Kimura F, Fujisawa H, editors, Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR-9). Los Alamitos, United States of America: Institute of Electrical and Electronics Engineers (IEEE). 2004. p. 359-364 doi: 10.1109/IWFHR.2004.39

Evaluation of Feature Sets in the Post Processing of Handwritten Pitman's Shorthand

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