Attributed Grammar—A Tool for Combining Syntactic and Statistical Approaches to Pattern Recognition

Wen-Hsiang Tsai , King Sun Fu

研究成果: Article同行評審

85 引文 斯高帕斯(Scopus)

摘要

Attributed grammars are defined from the pattern recognition point of view and shown to be useful for descriptions of syntactic structures as well as semantic attributes in primitives, subpatterns, and patterns. A pattern analysis system using attributed grammars is proposed for pattern classification and description. This system extracts primitives and their attributes after preprocessing, performs syntax analysis of the resulting pattern representations, computes and extracts subpattern attributes for syntactically accepted patterns, and finally makes decisions according to the Bayes decision rule. Such a system uses a combination of syntactic and statistical pattern recognition techniques, as is demonstrated by illustrative examples and experimental results.

原文English
頁(從 - 到)873-885
頁數13
期刊IEEE Transactions on Systems, Man, and Cybernetics
SMC-10
發行號12
DOIs
出版狀態Published - 12月 1980

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