An Investigation Of The Use Of Trigraphs For Large Vocabulary Cursive Handwriting Recognition (1997)
| Venue: | In Proc. IEEE Int. Conference on Acoustics, Speech and Signal Processing (ICASSP |
| Citations: | 8 - 7 self |
BibTeX
@INPROCEEDINGS{Kosmala97aninvestigation,
author = {Andreas Kosmala and Jörg Rottland and Gerhard Rigoll},
title = {An Investigation Of The Use Of Trigraphs For Large Vocabulary Cursive Handwriting Recognition},
booktitle = {In Proc. IEEE Int. Conference on Acoustics, Speech and Signal Processing (ICASSP},
year = {1997},
pages = {3373--3376}
}
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Abstract
This paper presents an extensive investigation of the use of trigraphs for on-line cursive handwriting recognition based on Hidden Markov Models (HMMs). Trigraphs are context dependent HMMs representing a single written character in its left and right context, similar to triphones in speech recognition. Looking at the great success of triphones in continuous speech recognition ([1]-[3]), it was always a challenging and open question, if the introduction of trigraphs could lead to substantially improved handwriting recognition systems. The results of this investigation are indeed extremely encouraging: The introduction of suitable trigraphs led to a 50% relative error reduction for a writer dependent 1000 word handwriting recognition system, and to a 35% relative error reduction for the same system with an extended 30000 word vocabulary for cursive handwriting recognition. 1. INTRODUCTION Regarding unconstrained, cursive written words it seems obvious, that the context of a character ...
Citations
| 89 | Context dependent phonetic hidden Markov models for continuous speech recognition - Lee - 1990 |
| 15 | Improved Hidden Markov Modelling of Phonemes for Continuous Speech Recognition - Schwartz, Chow, et al. - 1984 |
| 2 | Neukirchen: "A Comparison between Continuous and Discrete Density Hidden Markov Models for Cursive Handwriting Recognition - Rigoll, Kosmala, et al. - 1996 |
| 1 | Mercer: "Further Results on the Recognition of a Continuously Read Natural Corpus - Bahl, Bakis, et al. - 1980 |
| 1 | Perrone: "Writer Dependent Recognition of On-Line Unconstrained Handwriting - Subrahmonia, Nathan, et al. - 1996 |
