Handwritten English Character Recognition Using Logistic Regression and Neural Network
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Research Paper | Computer Science & Engineering | India | Volume 5 Issue 6, June 2016 | Popularity: 6.9 / 10


     

Handwritten English Character Recognition Using Logistic Regression and Neural Network

Tapan Kumar Hazra, Rajdeep Sarkar, Ankit Kumar


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.


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


Edition: Volume 5 Issue 6, June 2016


Pages: 750 - 754


DOI: https://www.doi.org/10.21275/NOV164228


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Tapan Kumar Hazra, Rajdeep Sarkar, Ankit Kumar, "Handwritten English Character Recognition Using Logistic Regression and Neural Network", International Journal of Science and Research (IJSR), Volume 5 Issue 6, June 2016, pp. 750-754, https://www.ijsr.net/getabstract.php?paperid=NOV164228, DOI: https://www.doi.org/10.21275/NOV164228

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