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This paper presents an intelligent technique for segmentation of off-line cursive handwritten words particularly on touching characters problem. In this study, Self Organizing Feature Maps (SOM) is implemented to identify the touching portion of the cursive words. The image of the connected characters is preprocessed and the core-zone is detected to overcome ascender and descender of the touched character...
In an effort to develop a tool for automatic ontology building from Malay text based on formal concept analysis, an effective natural language processing (NLP) tool as the pre-processing components is needed. The goal of the study is to investigate whether existing Malay NLP tools can be a viable component to be part of the ontology learning tool. This paper discusses the outcome of the study on three...
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