Application of Neural Network In Handwriting Recognition
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چکیده
This document describes the application of machine learning algorithms to solving the problem of handwriting recognition. Two models were explored, namely Naïve Bays and Artificial Neural Network, and ANN was found to generate more accurate recognitions. By setting up our model and training on the MNIST database of handwritten digits, we were able to achieve recognition of handwritten digits with decent accuracy on testing data obtained from Stanford students as well as data from MNIST database. Possible future improvements of this task are discussed in the end. Keywords—handwritten character recognition; Naïve Bays; Artificial Neural Network
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تاریخ انتشار 2014