Handwritten English Character Recognition Using Logistic Regression and Neural Network
Journal: International Journal of Science and Research (IJSR) (Vol.5, No. 6)Publication Date: 2016-06-05
Authors : Tapan Kumar Hazra; Rajdeep Sarkar; Ankit Kumar;
Page : 750-754
Keywords : neural network; classification; optical character recognition; regularization; logistic regression;
Abstract
Hand written character recognition is a challenging task often resulting in ambiguous labels. Using the concepts of Machine Learning we have tried to develop an Optical Character Recognition (OCR) system where an algorithm is trained on a data set of known letters and then can learn to accurately classify new data. Our optical character recognition (OCR) system for handwritten English characters comprises of two steps-Generating training set data using an OCR tool and then Applying different machine learning algorithm on the training set and start the learning process. A variety of algorithms have shown good accuracy for the handwritten letters, two of which are looked here.
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