Feature sets evaluation for handwritten word recognition

被引：3
|
作者：
de Oliveira, JJ [1 ]
de Carvalho, M [1 ]
Freitas, COD [1 ]
Sabourin, R [1 ]
机构：
[1] UFPB, Dept Elect Engn, BR-58109970 Campina Grande, PB, Brazil
来源：
EIGHTH INTERNATIONAL WORKSHOP ON FRONTIERS IN HANDWRITING RECOGNITION: PROCEEDINGS | 2002年
关键词：
D O I：
10.1109/IWFHR.2002.1030951
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This work presents a baseline system used to evaluate feature sets for word recognition. The main goal is to determine an optimum feature set to represent the handwritten names for the months of the year in Brazilian Portuguese language. Three kinds of features are evaluated: perceptual, directional and topological. The evaluation shows that taken in isolation, the perceptual feature set produces the best results for the lexicon used. These results can be further improved combining the feature sets. The baseline system developed obtains an average recognition rate of 87%. This can be considered a good result considering that no explicit segmentation is performed.
引用
收藏
页码：446 / 451
页数：2
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