Paper Title :Design and Implementation of Character Recognition and Object Recognization using Neural Networks

Author :S.David, S.A.Pasupathy, R.Darwin

Article Citation :S.David ,S.A.Pasupathy ,R.Darwin , (2018 ) " Design and Implementation of Character Recognition and Object Recognization using Neural Networks " , International Journal of Electrical, Electronics and Data Communication (IJEEDC) , pp. 44-49, Volume-6,Issue-4

Abstract : Optical character recognition, usually abbreviated to OCR, is the mechanical or electronic conversion of scanned images of handwritten, typewritten or printed text into machine-encoded text. It is widely used as a form of data entry from some sort of original paper data source, whether documents, sales receipts, mail, or any number of printed records. It is a common method of digitizing printed texts so that they can be electronically searched, stored more compactly, displayed online, and used in machine processes such as machine translation, text-to-speech and text mining. OCR is a field of research in pattern recognition, artificial intelligence and computer vision. Keywords - Character Recognition, MATLAB Implementation, Extraction

Type : Research paper

Published : Volume-6,Issue-4

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