OPTICAL CHARACTER RECOGNITION USING ARTIFICIAL NEURAL NETWORK
Author(s) -
Sameeksha Barve
Publication year - 2016
Publication title -
international journal of advance engineering and research development
Language(s) - English
Resource type - Journals
eISSN - 2348-6406
pISSN - 2348-4470
DOI - 10.21090/ijaerd.c26
Subject(s) - character (mathematics) , artificial neural network , artificial intelligence , computer science , character recognition , optical character recognition , pattern recognition (psychology) , mathematics , geometry , image (mathematics)
Optical character recognition refers to the process of translat ing images of hand-written, typewritten, or printed text into a format understood by machines for the purpose of editing, indexing/searching, and a reduction in storage size. Optical character recognition is the mechanical or electronic translation of images of handwritten, typewritten or printed text into machine-editable text. Artificial neural networks are commonly used to perform character recognition due to their high noise tolerance. In this paper, an Optical character recognition based on Artificial Neural Networks (ANNs). The ANN is trained using the Back Propagation algorithm.
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