As internet techniques are developing more and more quickly, internet becomes the
main way to communicate with the outside world. In this case, written information
on paper needs to be converted to digital information urgently, increasing the need
for handwritten character recognition. The aim of this work is to discuss methods
that can be used to recognize handwritten Chinese characters. We study geometric
features and clustering of handwritten Chinese characters from three aspects, which
are handwritten character preprocessing, feature extraction and clustering. To test
the correctness of our method, an application was built that could learn to recognize
five medium-hard handwritten Chinese characters by using a neural network.
2013. , 31 p.