中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Feature extraction methods for character recognition-A survey

文献类型:期刊论文

作者Øivind Due Trier ; Anil K. Jain ; Torfinn Taxt
刊名Pattern Recognition
出版日期1996
卷号29期号:4页码:641-662
关键词Feature extraction Optical character recognition Character representation Invariance Reconstructability
合作状况其它
英文摘要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
语种英语
公开日期2010-05-13
源URL[http://124.16.136.157/handle/311060/1328]  
专题软件研究所_软件所图书馆_期刊论文
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.

入库方式: OAI收割

来源:软件研究所

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