DOIONLINE

DOIONLINE NO - IJEEDC-IRAJ-DOIONLINE-11954

Publish In
International Journal of Electrical, Electronics and Data Communication (IJEEDC)-IJEEDC
Journal Home
Volume Issue
Issue
Volume-6,Issue-4  ( Apr, 2018 )
Paper Title
Design and Implementation of Character Recognition and Object Recognization using Neural Networks
Author Name
S.David, S.A.Pasupathy, R.Darwin
Affilition
Assistant Professor-Department of ECE Professor & Head-Department of ECE Kumaraguru College of Technology, Coimbatore, Tamilnadu, India
Pages
44-49
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
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