Neuro-fuzzy off-line recognition of handwritten sentences
Knowledge-Based Intelligent Engineering Systems and Allied Technologies, 2000. Proceedings. Fourth International Conference（2000）
摘要
Presents Beatrix, a system for off-line recognition of handwritten sentences. The system consists of four subsystems: the first pre-processes the input bitmap and splits each sentence into words; the second integrates neural and fuzzy logic techniques for individual character recognition; the third carries out a lexical and grammatical analysis of the recognised text; and the fourth uses the words recognised with a high confidence value to re-train the second subsystem on the specific handwriting. The analysis performed by the third subsystem produces hypotheses about words and sentences in order to correct errors made by the second subsystem. The fourth subsystem allows the system to self-adapt to the specific handwriting under examination; therefore, the system possesses the properties of both writer-independent and writer-dependent systems
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关键词
fuzzy neural nets,grammars,handwriting recognition,handwritten character recognition,text analysis,Beatrix,character recognition,confidence value,error correction,fuzzy logic,grammatical analysis,handwriting recognition,handwritten sentences,hypothesis generation,input bitmap preprocessing,lexical analysis,neural networks,neuro-fuzzy off-line sentence recognition,self-adaptation,sentence splitting,subsystem retraining,writer-dependent systems,writer-independent systems
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