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Handwritten English Character Recognition Using Logistic Regression and Neural Network

Journal: International Journal of Science and Research (IJSR) (Vol.5, No. 6)

Publication Date:

Authors : ; ; ;

Page : 750-754

Keywords : neural network; classification; optical character recognition; regularization; logistic regression;

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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.

Last modified: 2021-07-01 14:39:08