Master of Science (MS)
CNN Chinese character recognition
In this project, I built a web application for handwritten Chinese characters recognition in real time. This system determines a Chinese character while a user is drawing/writing it. The techniques and steps I use to build the recognition system include data preparation, preprocessing, features extraction, and classification. To increase the accuracy, two different types of neural networks ared used in the system: a multi-layer neural network and a convolutional neural network.
Zhang, Wenlong, "Real-time Online Chinese Character Recognition" (2016). Master's Projects. 504.