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题名:
Feature extraction methods for character recognition-A survey
作者: Øivind Due Trier ; Anil K. Jain ; Torfinn Taxt
关键词: Feature extraction ; Optical character recognition ; Character representation ; Invariance ; Reconstructability
刊名: Pattern Recognition
发表日期: 1996
卷: 29, 期:4, 页:641-662
收录类别: 其他
合作性质: 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.
语种: 英语
内容类型: 期刊论文
URI标识: http://ir.iscas.ac.cn/handle/311060/1328
Appears in Collections:软件所图书馆_期刊论文

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Recommended Citation:
Øivind Due Trier,Anil K. Jain,Torfinn Taxt. Feature extraction methods for character recognition-A survey[J]. Pattern Recognition,1996-01-01,29(4):641-662.
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