摘要
汉字手写体识别是模式识别和人工智能的重要分支,汉字数量庞大,书写灵活,计算机识别相当困难。该文基于模糊概念,并引入几个指示向量,提出一个新颖的汉字手写体模糊识别技术,实验证实效果显著。
Handwritten recognition of Chinese characters is one important branch of pattern recognition and AI, which turns out to be a great challenge to computer owing to large quantity and written flexibility. This paper provides a novel technique based on fuzzy and a few guiding vectors, which displays a good experimental result.
出处
《计算机工程》
CAS
CSCD
北大核心
2003年第12期96-97,148,共3页
Computer Engineering
关键词
手写体识别
模式识别
汉字
人工智能
Handwritten recognition
Pattern recognition
Chinese characters
Artificial intelligence(AI)