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At the dawn of the 3rd millennium, Human Handwriting Recognition is emerging from its infancy and set to become a mature technique. We shall probably see in the near future a number of mixed systems able to read both online and off-line handwriting. In this study we propose a simple yet robust structural solution for performing character recognition in Gujrati, the official language of Gujarat. Pursued...
As the enormous amount of on-line text grows on the World-Wide Web, the development of methods for automatically summarizing this text becomes more important. The primary goal of this research is to create an efficient tool that is able to summarize large documents automatically. We propose an Evolving connectionist System that is adaptive, incremental learning and knowledge representation system...
Over the past half century, the problem of text summarization has been addressed from many different perspectives, in various domains and using various paradigms. This paper intends to investigate machine learning for the text summarization system, taking into account of exciting new developments in adaptive evolving systems. Evolving processes, through both individual development and population evolution,...
During the last forty years, handwritten character recognition (HCR) has most often been investigated under the framework of character recognition (OCR) and pattern recognition. HCR is more considered as a perceptual and interpretation task closely connected with research into human language. India is a country which uses many languages in the different parts of the country be it for personal use...
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