Radon Transform and PCA based feature extraction to design an Assamese Character Recognition system
作者： Purnima Kumari Sharma , Mondira Deori , Balbindar Kaur , Chandralekha Dey , Karen Das
DOI: 10.1109/NCETACS.2012.6203296
关键词:
摘要: Character Recognition is a process of understanding human readable text document by machines. Today many researchers in the academia and industry are interested this direction. This paper describes novel method Recognition. The main objective to use Radon Transform Principal Component Analysis obtain set invariant features, on basis which character will be recognized. results found from various experiments prove effectiveness proposed method.
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