Open AccessText Recognition with Artificial Neural Networks and OpenCV
Author(s) -
Ms.A.Sunitha Nandhini,
Ms.R. Sujatha,
Ms.S. Padmavathi
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b3261.078219
Subject(s) - computer science , pipeline (software) , artificial intelligence , artificial neural network , pattern recognition (psychology) , feature (linguistics) , optical character recognition , character recognition , character (mathematics) , computer vision , image (mathematics) , mathematics , philosophy , linguistics , geometry , programming language
Recognizing text in images has received attention recently. Traditional systems during this space have relied on elaborating models incorporating rigorously hand-designed options or giant amounts of previous information. This paper proposed by taking a different route and combines the representational power of large, multilayer neural networks together with recent developments in unsupervised feature learning, which allows us to use a standard framework to coach highly accurate character recognizer and text detector modules. The recognition pipeline of scanning, segmenting, and recognition is examined and delineated completely