The advantage of using an HMM-based approach for faxed word recognition

被引：30
|
作者：
Elms A.J. [1 ,2 ]
Procter S. [1 ]
Illingworth J. [1 ]
机构：
[1] School of Electronic Engineering, Information Technology and Mathematics, University of Surrey, Guildford
[2] Fujitsu Microelectronics Ltd., Maidenhead, Berkshire
来源：
International Journal on Document Analysis and Recognition | 1998年 / 1卷 / 1期
关键词：
Hidden Markov models; OCR; Word recognition;
D O I：
10.1007/s100320050003
中图分类号：
学科分类号：
摘要：
A method for word recognition based on the use of hidden Markov models (HMMs) is described. An evaluation of its performance is presented using a test set of real printed documents that have been subjected to severe photocopy and fax transmission distortions. A comparison with a commercial OCR package highlights the inherent advantages of a segmentation-free recognition strategy when the word images are severely distorted, as well as the importance of using contextual knowledge. The HMM method makes only one quarter of the number of word errors made by the commercial package when tested on word images taken from faxed pages. © 1998 Springer-Verlag Berlin Heidelberg.
引用
收藏
页码：18 / 36
页数：18
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