Feature extraction methods for character recognition-A survey

ISCAS OpenIR

	Feature extraction methods for character recognition-A survey
	Øivind Due Trier; Anil K. Jain; Torfinn Taxt
	1996
发表期刊	Pattern Recognition
卷号	29 期号:4 页码:641-662
摘要	This paper presents an overview of feature extraction methods for off-line recognition of segmented (isolated) characters. Selection of a feature extraction method is probably the single most important factor in achieving high recognition performance in character recognition systems. Different feature extraction methods are designed for different representations of the characters, such as solid binary characters, character contours, skeletons (thinned characters) or gray-level subimages of each individual character. The feature extraction methods are discussed in terms of invariance properties, reconstructability and expected distortions and variability of the characters. The problem of choosing the appropriate feature extraction method for a given application is also discussed. When a few promising feature extraction methods have been identified, they need to be evaluated experimentally to find the best method for the given application.
收录类别	其他
合作性质	其它
关键词	Feature Extraction Optical Character Recognition Character Representation Invariance Reconstructability
语种	英语
内容类型	期刊论文
URI标识	http://ir.iscas.ac.cn/handle/311060/1328
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Øivind Due Trier,Anil K. Jain,Torfinn Taxt. Feature extraction methods for character recognition-A survey[J]. Pattern Recognition,1996,29(4):641-662.
APA	Øivind Due Trier,Anil K. Jain,&Torfinn Taxt.(1996).Feature extraction methods for character recognition-A survey.Pattern Recognition,29(4),641-662.
MLA	Øivind Due Trier,et al."Feature extraction methods for character recognition-A survey".Pattern Recognition 29.4(1996):641-662.

条目包含的文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
BJ01135616.pdf（529KB）			开放获取	使用许可	请求全文