.png){kind=icon}
返回
Word recognition using fuzzy logic
.png){kind=icon}
PRE
AI
DOI：10.1109/91.983279.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper presents an offline word-recognition system based on structural information in the unconstrained written word. Oriented features in the word are extracted with the Gabor filters. We estimate the Gabor filter parameters from the grayscale images. A two-dimensional fuzzy word classification system is developed where the spatial location and shape of the membership functions are derived from the training words. The system achieves an average recognition rate of 74% for the word being correctly classified in the top position and an average of 96% for the word being correctly classified within the top five positions.
Keyword:
LEXICON
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
11.9
论文数:
5.0K
被引数:
2.9W
机构
暂无机构信息
引用论文
A cross-media distance metric learning framework based on multi-view correlation mining and matching
PREAI
分享收藏Weed Identification in Maize, Sunflower, and Potatoes with the Aid of Convolutional Neural Networks
OAAI
OAAI分享收藏Activation and inactivation of thyroid hormone by type I iodothyronine deiodinase.png)
FEBS Letters
FEBS LettersIF0
PREAI
分享收藏
查看更多内容