An off-line cursive handwriting recognition system

被引：138
|
作者：
Senior, AW
Robinson, AJ
机构：
[1] IBM Corp, Thomas J Watson Res Ctr, Yorktown Hts, NY 10598 USA
[2] Univ Cambridge, Dept Engn, Cambridge CB2 1PZ, England
来源：
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 1998年 / 20卷 / 03期
关键词：
off-line cursive handwriting recognition; optical handwritten character recognition; preprocessing; feature extraction; recurrent neural networks; hidden Markov models; out-of-vocabulary word models;
D O I：
10.1109/34.667887
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper describes a complete system for the recognition of off-line handwriting. Preprocessing techniques are described, including segmentation and normalization of word images to give invariance to scale, slant, slope and stroke thickness. Representation of the image is discussed and the skeleton and stroke features used are described. A recurrent neural network is used to estimate probabilities for the characters represented in the skeleton. The operation of the hidden Markov model that calculates the best word in the lexicon is also described. Issues of vocabulary choice, rejection, and out-of-vocabulary word recognition are discussed.
引用
收藏
页码：309 / 321
页数：13
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